US20110276480A1 - Profile Advertisements - Google Patents

Profile Advertisements Download PDF

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US20110276480A1
US20110276480A1 US13/184,741 US201113184741A US2011276480A1 US 20110276480 A1 US20110276480 A1 US 20110276480A1 US 201113184741 A US201113184741 A US 201113184741A US 2011276480 A1 US2011276480 A1 US 2011276480A1
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personal
search results
social network
online social
personal advertisement
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US13/184,741
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Tomasz J. Tunguz-Zawislak
Shannon P. Bauman
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Google LLC
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Google LLC
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Priority to US13/184,741 priority Critical patent/US20110276480A1/en
Publication of US20110276480A1 publication Critical patent/US20110276480A1/en
Assigned to GOOGLE INC. reassignment GOOGLE INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BAUMAN, SHANNON P., TUNGUZ-ZAWISLAK, TOMASZ J.
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/08Payment architectures
    • G06Q20/10Payment architectures specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
    • G06Q20/102Bill distribution or payments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/384Payment protocols; Details thereof using social networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

Definitions

  • This instant specification relates to systems and methods for advertising online profiles.
  • online social networks are becoming an important and pervasive mechanism for communication, entertainment, and profession and social networking.
  • Some online social networks use digital advertisements to meet or defray the costs of hosting.
  • Some of the advertisements are directed to commercial products, which may not be of interest to many people using an online social network for the purposes described above.
  • Some other online social networking systems may proactively highlight new or popular members of the systems. However, the highlighted members may have little in common with other users of the social network system that view these highlights. To find members with similar interests, users may have to perform searches using a search feature of the online social network system. However, the search results may be dependent on the accuracy of the search terms entered by the user. Additionally, the search mechanism may not provide members with an opportunity to make their profiles more prominent in the search result.
  • the ability of the members to highlight themselves may be limited by the proactive nature of the searching because a user may have to purposely initiate a search for other members before members with similar interests are highlighted for the user.
  • this document describes advertisements associated with particular persons or groups (e.g., bands, clubs, and the like).
  • a system may generate on-line personal advertisements, such as for members of a social network, and may track responses to such advertisements.
  • a system can provide members (which may include individuals or identifiable groups) of an online social network a proactive method to highlight themselves.
  • a system can generate advertisements that are more relevant to members of a social network. This may increase the profitability of entities hosting the social network by generating a revenue source from the members and increasing the click through rates for the generated advertisements.
  • a system may provide members of one social network with information about people that have similar characteristics but are members of a different social network.
  • a computer-implemented method for determining personal advertisements for display with search results includes receiving, using a computer system, a query that corresponds to content associated with members of an online social network.
  • the method also includes generating, using the computer system, search results that are responsive to the query.
  • the method also includes obtaining, using the computer system, information that characterizes a personal advertisement that advertises a particular member of the online social network.
  • the method also includes comparing, using the computer system, information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results.
  • the method also includes providing the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results, the personal advertisement including a link to a document for the particular member on the online social network.
  • the method may include certain of the following features.
  • the method may also include monitoring accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented.
  • the method may also include generating a fee that is charged to the particular member based on at least one of the accesses, and/or generating a payment that is paid to the online social network based on at least one of the accesses.
  • the particular member may be a group on the online social network.
  • a computer-implemented system for providing personal advertisements for display with search results includes a search engine executing on a computer system to receive a query that corresponds to content associated with members of an online social network, and to generate search results that are responsive to the query.
  • the system also includes a personal advertisement database to store a personal advertisement that advertises a particular member of the online social network, the personal advertisement including a link to a document for the particular member on the online social network.
  • the system also includes a personal advertisement server executing on the computer system to compare information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results.
  • the system also includes an interface to provide the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results.
  • the system may include certain of the following features.
  • the interface may monitor accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented.
  • the interface may also generate a fee that is charged to the particular member based on at least one of the accesses, and/or generate a payment that is paid to the online social network based on at least one of the accesses.
  • the particular member may be a group on the online social network.
  • FIG. 1 is a schematic diagram of an example system for presenting advertising content related to a personal web page.
  • FIG. 2 is a block diagram of an example system for presenting advertising content related to a personal web page.
  • FIG. 3 is a schematic diagram of an example system for presenting advertising content related to search results.
  • FIG. 4 is a block diagram of an example system for presenting advertising content related to search results.
  • FIG. 5 is a flow chart of an example process for presenting adverting content related to a personal web page or search results.
  • FIG. 6 shows example user interfaces for creating an advertisement to be presented in relation to a personal web page or search results.
  • FIG. 7 is a flow chart of an example process for creating an advertisement to be presented in relation to a personal web page or search results.
  • FIG. 8 shows example user interfaces for presenting advertisements related to a personal web page or search results.
  • FIG. 9 is a schematic diagram of an example generic computer system.
  • FIG. 1 is a schematic diagram of an example system 100 for presenting advertising content 102 a - c related to a personal web page 104 .
  • the personal web page 104 is, for example, a user profile in an online social network 106 , which can include hosted web pages that describes profiles, or characteristics, of the social network's members. Examples of online social networks can include orkut.com, myspace.com, and friendster.com. Alternatively, other types of online social networks or personal web pages may be used, such as job hunting web sites (e.g., monster.com), school alumni web sites, organizations of professionals, Internet dating sites, ratings sites (e.g., hotornot.com), and a company employee internal web site.
  • job hunting web sites e.g., monster.com
  • school alumni web sites e.g., organizations of professionals
  • Internet dating sites e.g., ratings sites (e.g., hotornot.com)
  • ratings sites e.g., hotornot.com
  • the personal ads 102 a - c direct users viewing the personal web page 104 to other personal web pages, such as other social network user profiles or other non-commercial web pages.
  • the personal ads 102 a - c are received from a personal advertiser (e.g., someone advertising his or her personal profile or personal web page).
  • An external server 108 indexes content from user profiles 110 and stores the indexed content in a repository 112 .
  • the external server 108 stores personal ads in a repository 114 , such as the user B personal ad 102 a from a user B client 116 .
  • an ad server 118 determines which of the ads in the repository 114 relate to the user A profile 104 currently presented.
  • the related personal ads 102 a - c are displayed with the user A profile 104 .
  • the related ads 102 a - c are transmitted to the social network 106 .
  • the related ads 102 a - c may be transmitted to a client device presenting the user A profile 104 .
  • the components and/or actions attributed here to the external server 108 may be included in and/or performed by the social network 106 .
  • FIG. 2 is a block diagram of an example system 200 for presenting advertising content 102 a - c related to a personal web page.
  • the external server 108 includes a web crawler 202 .
  • the web crawler 202 receives the user profile content 110 via an interface 204 .
  • the web crawler 202 traverses the user profile content 110 and generates the indexed user profile content stored in the repository 112 .
  • the web crawler 202 can generate statistical associations between keywords and the user profile content 110 .
  • the user profile content 110 can contain information used by the web crawler to identify what keyword may be related to the content of the profile. This information can include text within the profile, keywords (e.g., metadata) that describe the profile, frequencies of words occurring in the profile, font size of text in the profile (e.g., if one word has a larger font size, more emphasis can be given when associating the profile with keywords), or a hyperlink structure within the profile.
  • the web crawler 202 can store the statistical associations in a repository 206 .
  • the structure of the profile used in certain social networks also can be integrated into the analysis of appropriate keywords to link to the profile.
  • the profile may be structured so that certain types of content are identified using their location on the page, metadata, and text proceeding the content (e.g., “interests:,” “age:,” etc.). If the web crawler 202 determines that the text “law” is within the “interest:” content of a first profile, it can record this association so that other advertisements for profiles that include similar interests may appear on the first profile.
  • the external server 108 receives the user B personal ad 102 a via an interface 208 and stores the personal ad 102 a in the repository 114 .
  • the personal ad 102 a includes sub-components, including a uniform resource identifier 210 , an image 212 , a video 214 , text 216 , and/or keywords 218 .
  • the image 212 , video 214 , and text 216 can form the information presented to the user viewing the personal ad 102 a .
  • the personal ad 102 a may include audio or other appropriate media.
  • the URI 210 is a uniform resource link (URL) that permits a user viewing the personal ad 102 a to navigate from the user A profile 104 to a personal web page of the user B.
  • the URI 210 can include contact information for the user B (e.g., instant messenger address, telephone number, mailing address, email address, etc.).
  • the image 212 , video 214 , and text 216 are retrieved from the user B personal web page to which the URI 210 directs.
  • a personal advertiser can enter in the URL of the advertiser's profile.
  • the web crawler can retrieve content from the profile based on the profile structure. Because the profile structure is uniform, the web crawler can retrieve consistent content, such as an introductory paragraph that describes the personal advertiser and a photograph of the personal advertiser.
  • the personal advertiser selects the content and uploads it as part of the User B Personal Ad 102 a.
  • the keywords 218 describe the personal ad 102 a and/or the user B personal web page that the personal ad 102 a advertises.
  • the keywords 218 may describe, for example, a category to which the ad 102 a or the web page belongs, or a language used by the ad 102 a or the web page.
  • the personal advertiser can enter the keywords, the external server 108 can generate them using the statistical information in the repository 206 , or the keywords can originate from both.
  • the external server 108 includes an ad to profile matcher 220 within the ad server 118 .
  • the ad to profile matcher 220 matches personal ads from the repository 114 to a profile to be presented.
  • the matcher 220 uses the indexed user profile content in the repository 112 together with additional personal ad keywords 222 from the repository 206 to relate, for example, the user A profile 104 to the personal ads 102 a - c .
  • the user A profile 104 may contain text, keywords, or links to web pages including the phrases “Star Trek,” “cycling,” and “local music.”
  • the personal ads 102 a - c may contain keywords of “Star Trek” 218 , “cycling,” and “local music,” respectively.
  • the matcher 220 determines that the profile 104 is related to the ad 102 a by the words “Star Trek,” to the ad 102 b by the word “cycling,” and to the ad 102 c by the words “local music.”
  • a phrase associated with the user A profile 104 may originate from the additional personal ad keywords 222 .
  • the user A profile 104 may include the phrase “bicycling.”
  • the repository 206 may contain a statistical association between the word “bicycling” and the word “cycling”; therefore the word “cycling” is included in the additional personal ad keywords and then related to the ad 102 b.
  • the user A profile 104 may include the word “physicist.”
  • the repository 206 and the additional personal ad keywords 222 , may include a phrase of “Star Trek” associated with the word “physicist.”
  • the crawler 202 may have determined that there is a relationship between profiles including the word “physicist” and profiles including the phrase “Star Trek.”
  • the matcher 220 then relates the additional keywords “Star Trek” to the user B personal ad keywords 218 .
  • an exact match is identified between the phrases from the user A profile 104 and the ads 102 a - c .
  • the profile content portions are statistically related to the personal ad keywords, but the relationship may be less than exact, such as a relationship meeting a predetermined statistical threshold.
  • the ad server 118 outputs the related ads 102 a - c via the interface 204 .
  • Ads can also be targeted to attributes expressed in manners other than keywords, such as user age or age range, gender, geographic proximity, and non-profile attributes such as how often a user logs into a social network.
  • FIG. 3 is a schematic diagram of an example system 300 for presenting advertising content 102 a - c related to search results 302 .
  • a client 304 transmits a search query 306 to a search engine 308 at a search server 310 .
  • the search may be, for example, a lookup of profiles at the social network 106 .
  • the search engine 308 generates the search results 302 .
  • the search engine 308 may base the search results 302 on an index of the user profile content 110 from the social network as well as content from other websites.
  • the search server 310 determines the personal ads 102 a - c to be displayed in conjunction with the search results 302 .
  • the search server 310 then transmits the search results 302 and the personal ads 102 a - c to the client 304 .
  • FIG. 4 is a block diagram of an example system 400 for presenting advertising content 102 a - c related to search results 302 .
  • the web crawler 202 indexes the user profile content 110 as well as other website content 402 and stores the indexed content in a repository 404 .
  • a request processor 406 receives the search query 306 . After processing the search query 306 , the request processor 406 passes the search query 306 to the search engine 308 .
  • the search engine 308 uses the search query 306 together with the indexed content in the repository 404 to determine the search results 302 .
  • the search engine 308 passes the search results 302 to a response formatter 408 .
  • the ad server 118 determines which ads from the repository 114 to present with the search results 302 .
  • the ad server 118 uses the indexed content in the repository 404 together with the search query 306 and/or the search results 302 to determine the personal ads 102 a - c related to the search results 302 .
  • the ad server 118 passes the related ads 102 a - c to the response formatter 408 .
  • the response formatter 408 outputs the search results 302 and the related ads 102 a - c via the interface 204 .
  • FIG. 5 is a flow chart of an example process 500 for presenting adverting content related to a personal web page or search results.
  • the process 500 may be performed, for example, by the systems 100 , 200 , 300 , and/or 400 , and for clarity of presentation, the description that follows uses these as the basis of examples for describing the process 500 .
  • another system, or combination of systems may be used to perform the process 500 .
  • Process 500 begins with receiving ( 502 ) personal web page content.
  • the external server 108 and the search server 310 receive the user profile content 110 .
  • the servers 108 and 310 index the user profile content 110 and store the indexed content in repositories 112 and 404 , respectively.
  • Process 500 generates ( 504 ) one or more personal ads.
  • advertiser users may submit information used to create the personal ads 102 a - c at the servers 108 and 310 or the ads 102 a - c may be created by the servers 108 and 310 using content from the personal web pages referred to by the ads 102 a - c.
  • Process 500 associates 506 a - b one or more personal ads with personal web page content related to the ads or keywords/categories related to search results, respectively.
  • the ad server 118 may relate the user A profile to the personal ads 102 a - c or the ad server 118 may relate the search results 302 to the personal ads 102 a - c.
  • Process 500 receives ( 508 a - b ) a request to display an ad with a personal web page or to generate search results, respectively.
  • the social network 106 may make a request to the external server 108 that ads be displayed in conjunction with the user A profile 104 or the client 304 may transmit the search query 306 to the search server 310 .
  • Process 500 transmits ( 510 a - b ) the one or more ads for display with the personal ad or the search results, respectively.
  • the external server 108 may transmit the personal ads 102 a - c to the social network 106 or the search server 310 may transmit the personal ads 102 a - c to the client 304 .
  • the personal ads 102 a - c may be placed in various manners.
  • the personal ads 102 a - c may be placed on a user's profile page to which the ads 102 a - c have been determined to bear a relation or some commonality.
  • Various visitors to the person's profile page would then see the ads 102 a - c .
  • the ads 102 a - c may be generated to match ads for other profiles with the present profile such as by comparing the two profiles.
  • an ad may be in the form of, “If you like Sally's profile, then you'll love ______'s profile.”
  • the personal ads 102 a - c may also be placed to be targeted to a particular member as they navigate a site such as a social network site. For example, if the user is anywhere in the site, they may see ads directed to attributes of their profile.
  • the selected ads may be taken from a sub-group of ads relevant to the place the member is visiting, and the particular ads to display may be selected using parameters associated with the user.
  • the ad selection may occur using a combination of attributes for a visiting user, and attributes associated with a page (such as a personal profile page) that the person is visiting. In such a situation, the visitor's profile may show explicitly attributes associated with the user, whereas the place the user visits may reflect implicit attributes, such as the user's (perhaps well hidden) desires.
  • ads 102 a - c may be targeted to an end member in general.
  • FIG. 6 shows example user interfaces 600 a - c for creating an advertisement to be presented in relation to a personal web page or search results.
  • the interface 600 a is a representation of a personal ad.
  • the interface 600 a includes a media window 602 , a description text 604 , and an advertise control 606 .
  • the media window 602 presents media, such as an image, audio, or video, to a user viewing and/or listening to the ad.
  • the description text 604 contains the text body of the ad that describes a personal web page being advertised. A user viewing the ad may select the advertise control 606 to initiate the creation his or her own personal ad.
  • the interface 600 b allows an advertiser to select a file to be uploaded from a file list 630 .
  • the file may be media such as an image, audio, or video.
  • the file list 630 may contain controls that allow the advertiser to navigate to a location where a particular file associated with the personal web page to be advertised resides. Selecting a file in the file list 630 may initiate the interface 600 c or another control may initiate the interface 600 c.
  • the interface 600 c is an editor for the text description of the personal ad.
  • the interface 600 c includes a text entry area 660 and a text formatting controls 662 .
  • An advertiser may make inputs to the text entry area 660 containing the description of the personal ad.
  • the advertiser may format the description, such as with underlining, boldface, color, font, or font size, using the text formatting controls 662 .
  • FIG. 7 is a flow chart of an example process 700 for creating an advertisement to be presented in relation to a personal web page or search results.
  • Process 700 begins with a user clicking ( 702 ) on “Advertise my profile.” For example, a user may click on the advertise control 606 in the personal ad interface 600 a . Selecting the advertise control 606 initiates an ad generator front end 704 . The ad generator front end 704 guides the user through the personal ad creation process.
  • process 700 receives ( 706 ) a user login to an account.
  • the personal ad creation/modification process may be password protected to prevent unauthorized changes from being made to personal ads.
  • process 700 receives ( 708 ) a user generated ad.
  • a user may create a personal ad using the interfaces 600 a - c .
  • personal ads may be automatically generated by process 700 using, for example, content from a user's personal web page.
  • Process 700 receives ( 710 ) a user-specified cost-per-click, budget, and targets.
  • the user may specify how much the user intends to pay for each action resulting from the personal ad, such as an action of navigating to the user's personal web page via the personal ad or performing an action at the personal web page.
  • Payments may be triggered by various events, such as cost/pay-per-impression, cost/pay-per-click, and cost/pay-per action or acquisition (where action/acquisition may include, for example, adding the user as a friend).
  • Payments made by the advertiser based on the cost-per-click (or other method) may be credited to an entity providing the ad server 118 functionality, an entity responsible for the personal web page where the personal ad is presented, an entity hosting the personal web page where the personal ad is presented (e.g., the social network 106 ), or some combination of these entities.
  • a payment system 712 tracks the number of times the advertiser's personal web page is accessed via the personal ad.
  • the budget indicates a limit to the number of times the personal ad may be presented and selected.
  • the targets indicate the types of personal web pages where the personal ad is to be presented, or the types of viewers to whom it is to be presented.
  • the keywords 218 may include the specified target information. The keywords 218 are then used when determining with which personal web pages to display the personal ad in conjunction.
  • Process 700 receives ( 714 ) user payment details.
  • the advertiser user may input credit card information or PayPal information to make the payments based on the selected cost-per-click amount.
  • FIG. 8 shows example user interfaces 800 a - d for presenting advertisements related to a personal web page or search results.
  • the interfaces 800 a - d include the advertise control 606 .
  • the interfaces 800 a - d present the personal ads 102 a - d having the keywords “Star Trek,” “cycling,” and “local music,” respectively.
  • the interface 800 a presents the personal ads 102 a - c in a horizontal or banner orientation.
  • the interface 800 b presents the personal ads 102 a - c in a vertical or sidebar orientation.
  • the interfaces 800 a - b may represent the personal ads 102 a - c as described above with reference to FIGS. 1 and 3 .
  • a single personal ad may be shown, such as the personal ad 102 a in the interface 800 c
  • two personal ads may be shown, such as the personal ads 102 a - b in the interface 800 d.
  • FIG. 9 is a schematic diagram of an example of a generic computer system 900 .
  • the system 900 can be used for the operations described in association with the method 300 according to one implementation.
  • the system 900 may be included in either or all of the social network 106 , the external server 108 , the user B client 116 , the client 304 , the search server 310 , and the payment system 712 .
  • the system 900 includes a processor 910 , a memory 920 , a storage device 930 , and an input/output device 940 .
  • Each of the components 910 , 920 , 930 , and 940 are interconnected using a system bus 950 .
  • the processor 910 is capable of processing instructions for execution within the system 900 .
  • the processor 910 is a single-threaded processor.
  • the processor 910 is a multi-threaded processor.
  • the processor 910 is capable of processing instructions stored in the memory 920 or on the storage device 930 to display graphical information for a user interface on the input/output device 940 .
  • the memory 920 stores information within the system 900 .
  • the memory 920 is a computer-readable medium.
  • the memory 920 is a volatile memory unit.
  • the memory 920 is a non-volatile memory unit.
  • the storage device 930 is capable of providing mass storage for the system 900 .
  • the storage device 930 is a computer-readable medium.
  • the storage device 930 may be a floppy disk device, a hard disk device, an optical disk device, or a tape device.
  • the input/output device 940 provides input/output operations for the system 900 .
  • the input/output device 940 includes a keyboard and/or pointing device.
  • the input/output device 940 includes a display unit for displaying graphical user interfaces.
  • the features described can be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them.
  • the apparatus can be implemented in a computer program product tangibly embodied in an information carrier, e.g., in a machine-readable storage device or in a propagated signal, for execution by a programmable processor; and method steps can be performed by a programmable processor executing a program of instructions to perform functions of the described implementations by operating on input data and generating output.
  • the described features can be implemented advantageously in one or more computer programs that are executable on a programmable system including at least one programmable processor coupled to receive data and instructions from, and to transmit data and instructions to, a data storage system, at least one input device, and at least one output device.
  • a computer program is a set of instructions that can be used, directly or indirectly, in a computer to perform a certain activity or bring about a certain result.
  • a computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • Suitable processors for the execution of a program of instructions include, by way of example, both general and special purpose microprocessors, and the sole processor or one of multiple processors of any kind of computer.
  • a processor will receive instructions and data from a read-only memory or a random access memory or both.
  • the essential elements of a computer are a processor for executing instructions and one or more memories for storing instructions and data.
  • a computer will also include, or be operatively coupled to communicate with, one or more mass storage devices for storing data files; such devices include magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and optical disks.
  • Storage devices suitable for tangibly embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
  • semiconductor memory devices such as EPROM, EEPROM, and flash memory devices
  • magnetic disks such as internal hard disks and removable disks
  • magneto-optical disks and CD-ROM and DVD-ROM disks.
  • the processor and the memory can be supplemented by, or incorporated in, ASICs (application-specific integrated circuits).
  • ASICs application-specific integrated circuits
  • the features can be implemented on a computer having a display device such as a CRT (cathode ray tube) or LCD (liquid crystal display) monitor for displaying information to the user and a keyboard and a pointing device such as a mouse or a trackball by which the user can provide input to the computer.
  • a display device such as a CRT (cathode ray tube) or LCD (liquid crystal display) monitor for displaying information to the user and a keyboard and a pointing device such as a mouse or a trackball by which the user can provide input to the computer.
  • the features can be implemented in a computer system that includes a back-end component, such as a data server, or that includes a middleware component, such as an application server or an Internet server, or that includes a front-end component, such as a client computer having a graphical user interface or an Internet browser, or any combination of them.
  • the components of the system can be connected by any form or medium of digital data communication such as a communication network. Examples of communication networks include, e.g., a LAN, a WAN, and the computers and networks forming the Internet.
  • the computer system can include clients and servers.
  • a client and server are generally remote from each other and typically interact through a network, such as the described one.
  • the relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
  • the payment system 712 described in association with FIG. 7 can include a micropayment system.
  • the micropayment system can track a number of times a user selects a URL in an advertisement for a personal profile. Instead of charging a person associated with the advertisement each time the URL is selected, the micropayment system can charge the user after a charges associated with the clicks have crossed a predefined threshold, such as ten dollars.
  • the micropayment system can accept a payment from a user and create an account that the fees are debited against.
  • the source of the advertisements of profiles from a first online social network may be displayed with profiles hosted by a second online social network.
  • An external web server can receive profile information from the first online social network and transmit advertisements for profiles from the second online social network for display with profiles hosted by the first online social network.
  • a personal profile includes web pages not associated with a social network. These web pages may not include a standard structure of categories that describe a user.
  • a user may design a web page that includes a variety of content include information about the user. For example, geocities.com hosts a variety of web sites that describe personal aspects of users of the web hosting service. These websites may be noncommercial websites, where the primary purpose of the content of the user designed website may be expressing personal information and interests instead of promoting a product for sale. Although advertisements for products may be generated and associated by the web hosting service for display with the user designed website, the content of the websites may still be noncommercial.

Abstract

In one aspect, this application describes a method for determining personal advertisements for display with search results. The method includes receiving a query that corresponds to content associated with members of an online social network, generating search results that are responsive to the query, and obtaining information that characterizes a personal advertisement that advertises a particular member of the online social network. The method also includes comparing information associated with the search results to the information that characterizes the personal advertisement to determine whether the personal advertisement is related to the search results. The method also includes providing the personal advertisement for display with the search results in response to determining that the information that characterizes the personal advertisement is related to the search results.

Description

    CROSS-REFERENCE TO RELATED APPLICATION
  • This application claims priority to U.S. application Ser. No. 13/176,472, filed Jul. 5, 2011, entitled “Profile Advertisements,” which claims priority to U.S. application Ser. No. 11/479,253, filed on Jun. 30, 2006, entitled “Profile Advertisements,” the entire contents of both of which are hereby incorporated by reference.
  • TECHNICAL FIELD
  • This instant specification relates to systems and methods for advertising online profiles.
  • BACKGROUND
  • As the Internet has become increasingly popular, online social networks are becoming an important and pervasive mechanism for communication, entertainment, and profession and social networking. Some online social networks use digital advertisements to meet or defray the costs of hosting. Some of the advertisements, however, are directed to commercial products, which may not be of interest to many people using an online social network for the purposes described above.
  • Some other online social networking systems may proactively highlight new or popular members of the systems. However, the highlighted members may have little in common with other users of the social network system that view these highlights. To find members with similar interests, users may have to perform searches using a search feature of the online social network system. However, the search results may be dependent on the accuracy of the search terms entered by the user. Additionally, the search mechanism may not provide members with an opportunity to make their profiles more prominent in the search result.
  • Also, the ability of the members to highlight themselves may be limited by the proactive nature of the searching because a user may have to purposely initiate a search for other members before members with similar interests are highlighted for the user.
  • SUMMARY
  • In general, this document describes advertisements associated with particular persons or groups (e.g., bands, clubs, and the like). In one example, a system may generate on-line personal advertisements, such as for members of a social network, and may track responses to such advertisements.
  • The systems and techniques described here may provide one or more of the following advantages. First, a system can provide members (which may include individuals or identifiable groups) of an online social network a proactive method to highlight themselves. Second, a system can generate advertisements that are more relevant to members of a social network. This may increase the profitability of entities hosting the social network by generating a revenue source from the members and increasing the click through rates for the generated advertisements. Third, a system may provide members of one social network with information about people that have similar characteristics but are members of a different social network.
  • In one implementation, a computer-implemented method for determining personal advertisements for display with search results is described. The method includes receiving, using a computer system, a query that corresponds to content associated with members of an online social network. The method also includes generating, using the computer system, search results that are responsive to the query. The method also includes obtaining, using the computer system, information that characterizes a personal advertisement that advertises a particular member of the online social network. The method also includes comparing, using the computer system, information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results. The method also includes providing the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results, the personal advertisement including a link to a document for the particular member on the online social network.
  • In some aspects, the method may include certain of the following features. For example, the method may also include monitoring accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented. The method may also include generating a fee that is charged to the particular member based on at least one of the accesses, and/or generating a payment that is paid to the online social network based on at least one of the accesses. The particular member may be a group on the online social network.
  • In another implementation, a computer-implemented system for providing personal advertisements for display with search results is described. The system includes a search engine executing on a computer system to receive a query that corresponds to content associated with members of an online social network, and to generate search results that are responsive to the query. The system also includes a personal advertisement database to store a personal advertisement that advertises a particular member of the online social network, the personal advertisement including a link to a document for the particular member on the online social network. The system also includes a personal advertisement server executing on the computer system to compare information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results. The system also includes an interface to provide the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results.
  • In some aspects, the system may include certain of the following features. For example, the interface may monitor accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented. The interface may also generate a fee that is charged to the particular member based on at least one of the accesses, and/or generate a payment that is paid to the online social network based on at least one of the accesses. The particular member may be a group on the online social network.
  • The details of one or more embodiments of the personal profile feature are set forth in the accompanying drawings and the description below. Other features and advantages of the personal profile feature will be apparent from the description and drawings, and from the claims.
  • DESCRIPTION OF DRAWINGS
  • FIG. 1 is a schematic diagram of an example system for presenting advertising content related to a personal web page.
  • FIG. 2 is a block diagram of an example system for presenting advertising content related to a personal web page.
  • FIG. 3 is a schematic diagram of an example system for presenting advertising content related to search results.
  • FIG. 4 is a block diagram of an example system for presenting advertising content related to search results.
  • FIG. 5 is a flow chart of an example process for presenting adverting content related to a personal web page or search results.
  • FIG. 6 shows example user interfaces for creating an advertisement to be presented in relation to a personal web page or search results.
  • FIG. 7 is a flow chart of an example process for creating an advertisement to be presented in relation to a personal web page or search results.
  • FIG. 8 shows example user interfaces for presenting advertisements related to a personal web page or search results.
  • FIG. 9 is a schematic diagram of an example generic computer system.
  • Like reference symbols in the various drawings indicate like elements.
  • DETAILED DESCRIPTION
  • FIG. 1 is a schematic diagram of an example system 100 for presenting advertising content 102 a-c related to a personal web page 104. The personal web page 104 is, for example, a user profile in an online social network 106, which can include hosted web pages that describes profiles, or characteristics, of the social network's members. Examples of online social networks can include orkut.com, myspace.com, and friendster.com. Alternatively, other types of online social networks or personal web pages may be used, such as job hunting web sites (e.g., monster.com), school alumni web sites, organizations of professionals, Internet dating sites, ratings sites (e.g., hotornot.com), and a company employee internal web site. The personal ads 102 a-c direct users viewing the personal web page 104 to other personal web pages, such as other social network user profiles or other non-commercial web pages. In certain implementations, the personal ads 102 a-c are received from a personal advertiser (e.g., someone advertising his or her personal profile or personal web page).
  • An external server 108 indexes content from user profiles 110 and stores the indexed content in a repository 112. In addition, the external server 108 stores personal ads in a repository 114, such as the user B personal ad 102 a from a user B client 116. Using the indexed profiles in the repository 112, an ad server 118 determines which of the ads in the repository 114 relate to the user A profile 104 currently presented. The related personal ads 102 a-c are displayed with the user A profile 104. In certain implementations, the related ads 102 a-c are transmitted to the social network 106. Alternatively, the related ads 102 a-c may be transmitted to a client device presenting the user A profile 104. In certain implementations, the components and/or actions attributed here to the external server 108 may be included in and/or performed by the social network 106.
  • FIG. 2 is a block diagram of an example system 200 for presenting advertising content 102 a-c related to a personal web page. The external server 108 includes a web crawler 202. The web crawler 202 receives the user profile content 110 via an interface 204. The web crawler 202 traverses the user profile content 110 and generates the indexed user profile content stored in the repository 112.
  • In addition, the web crawler 202 can generate statistical associations between keywords and the user profile content 110. For example, the user profile content 110 can contain information used by the web crawler to identify what keyword may be related to the content of the profile. This information can include text within the profile, keywords (e.g., metadata) that describe the profile, frequencies of words occurring in the profile, font size of text in the profile (e.g., if one word has a larger font size, more emphasis can be given when associating the profile with keywords), or a hyperlink structure within the profile. The web crawler 202 can store the statistical associations in a repository 206.
  • The structure of the profile used in certain social networks also can be integrated into the analysis of appropriate keywords to link to the profile. For example, the profile may be structured so that certain types of content are identified using their location on the page, metadata, and text proceeding the content (e.g., “interests:,” “age:,” etc.). If the web crawler 202 determines that the text “law” is within the “interest:” content of a first profile, it can record this association so that other advertisements for profiles that include similar interests may appear on the first profile.
  • The external server 108 receives the user B personal ad 102 a via an interface 208 and stores the personal ad 102 a in the repository 114. The personal ad 102 a includes sub-components, including a uniform resource identifier 210, an image 212, a video 214, text 216, and/or keywords 218. The image 212, video 214, and text 216 can form the information presented to the user viewing the personal ad 102 a. In addition, the personal ad 102 a may include audio or other appropriate media.
  • In certain implementations, the URI 210 is a uniform resource link (URL) that permits a user viewing the personal ad 102 a to navigate from the user A profile 104 to a personal web page of the user B. In other implementations, the URI 210 can include contact information for the user B (e.g., instant messenger address, telephone number, mailing address, email address, etc.).
  • In certain implementations, the image 212, video 214, and text 216 are retrieved from the user B personal web page to which the URI 210 directs. For example, a personal advertiser can enter in the URL of the advertiser's profile. The web crawler can retrieve content from the profile based on the profile structure. Because the profile structure is uniform, the web crawler can retrieve consistent content, such as an introductory paragraph that describes the personal advertiser and a photograph of the personal advertiser. In other implementations, the personal advertiser selects the content and uploads it as part of the User B Personal Ad 102 a.
  • The keywords 218 describe the personal ad 102 a and/or the user B personal web page that the personal ad 102 a advertises. The keywords 218 may describe, for example, a category to which the ad 102 a or the web page belongs, or a language used by the ad 102 a or the web page. The personal advertiser can enter the keywords, the external server 108 can generate them using the statistical information in the repository 206, or the keywords can originate from both.
  • The external server 108 includes an ad to profile matcher 220 within the ad server 118. The ad to profile matcher 220 matches personal ads from the repository 114 to a profile to be presented. The matcher 220 uses the indexed user profile content in the repository 112 together with additional personal ad keywords 222 from the repository 206 to relate, for example, the user A profile 104 to the personal ads 102 a-c. For example, the user A profile 104 may contain text, keywords, or links to web pages including the phrases “Star Trek,” “cycling,” and “local music.” The personal ads 102 a-c may contain keywords of “Star Trek” 218, “cycling,” and “local music,” respectively. The matcher 220 determines that the profile 104 is related to the ad 102 a by the words “Star Trek,” to the ad 102 b by the word “cycling,” and to the ad 102 c by the words “local music.”
  • Additionally, a phrase associated with the user A profile 104 may originate from the additional personal ad keywords 222. For example, the user A profile 104 may include the phrase “bicycling.” The repository 206 may contain a statistical association between the word “bicycling” and the word “cycling”; therefore the word “cycling” is included in the additional personal ad keywords and then related to the ad 102 b.
  • In addition, the user A profile 104 may include the word “physicist.” The repository 206, and the additional personal ad keywords 222, may include a phrase of “Star Trek” associated with the word “physicist.” The crawler 202 may have determined that there is a relationship between profiles including the word “physicist” and profiles including the phrase “Star Trek.” The matcher 220 then relates the additional keywords “Star Trek” to the user B personal ad keywords 218.
  • In the examples described here, an exact match is identified between the phrases from the user A profile 104 and the ads 102 a-c. In general, the profile content portions are statistically related to the personal ad keywords, but the relationship may be less than exact, such as a relationship meeting a predetermined statistical threshold. The ad server 118 outputs the related ads 102 a-c via the interface 204. Ads can also be targeted to attributes expressed in manners other than keywords, such as user age or age range, gender, geographic proximity, and non-profile attributes such as how often a user logs into a social network.
  • FIG. 3 is a schematic diagram of an example system 300 for presenting advertising content 102 a-c related to search results 302. A client 304 transmits a search query 306 to a search engine 308 at a search server 310. The search may be, for example, a lookup of profiles at the social network 106. The search engine 308 generates the search results 302. The search engine 308 may base the search results 302 on an index of the user profile content 110 from the social network as well as content from other websites. The search server 310 determines the personal ads 102 a-c to be displayed in conjunction with the search results 302. The search server 310 then transmits the search results 302 and the personal ads 102 a-c to the client 304.
  • FIG. 4 is a block diagram of an example system 400 for presenting advertising content 102 a-c related to search results 302. The web crawler 202 indexes the user profile content 110 as well as other website content 402 and stores the indexed content in a repository 404. A request processor 406 receives the search query 306. After processing the search query 306, the request processor 406 passes the search query 306 to the search engine 308. The search engine 308 uses the search query 306 together with the indexed content in the repository 404 to determine the search results 302. The search engine 308 passes the search results 302 to a response formatter 408.
  • The ad server 118 determines which ads from the repository 114 to present with the search results 302. The ad server 118 uses the indexed content in the repository 404 together with the search query 306 and/or the search results 302 to determine the personal ads 102 a-c related to the search results 302. The ad server 118 passes the related ads 102 a-c to the response formatter 408. The response formatter 408 outputs the search results 302 and the related ads 102 a-c via the interface 204.
  • FIG. 5 is a flow chart of an example process 500 for presenting adverting content related to a personal web page or search results. The process 500 may be performed, for example, by the systems 100, 200, 300, and/or 400, and for clarity of presentation, the description that follows uses these as the basis of examples for describing the process 500. However, another system, or combination of systems, may be used to perform the process 500.
  • Process 500 begins with receiving (502) personal web page content. For example, the external server 108 and the search server 310 receive the user profile content 110. The servers 108 and 310 index the user profile content 110 and store the indexed content in repositories 112 and 404, respectively.
  • Process 500 generates (504) one or more personal ads. For example, advertiser users may submit information used to create the personal ads 102 a-c at the servers 108 and 310 or the ads 102 a-c may be created by the servers 108 and 310 using content from the personal web pages referred to by the ads 102 a-c.
  • Process 500 associates 506 a-b one or more personal ads with personal web page content related to the ads or keywords/categories related to search results, respectively. For example, the ad server 118 may relate the user A profile to the personal ads 102 a-c or the ad server 118 may relate the search results 302 to the personal ads 102 a-c.
  • Process 500 receives (508 a-b) a request to display an ad with a personal web page or to generate search results, respectively. For example, the social network 106 may make a request to the external server 108 that ads be displayed in conjunction with the user A profile 104 or the client 304 may transmit the search query 306 to the search server 310.
  • Process 500 transmits (510 a-b) the one or more ads for display with the personal ad or the search results, respectively. For example, the external server 108 may transmit the personal ads 102 a-c to the social network 106 or the search server 310 may transmit the personal ads 102 a-c to the client 304.
  • The personal ads 102 a-c may be placed in various manners. For example, the personal ads 102 a-c may be placed on a user's profile page to which the ads 102 a-c have been determined to bear a relation or some commonality. Various visitors to the person's profile page would then see the ads 102 a-c. In one implementation, the ads 102 a-c may be generated to match ads for other profiles with the present profile such as by comparing the two profiles. Specifically, an ad may be in the form of, “If you like Sally's profile, then you'll love ______'s profile.”
  • The personal ads 102 a-c may also be placed to be targeted to a particular member as they navigate a site such as a social network site. For example, if the user is anywhere in the site, they may see ads directed to attributes of their profile. The selected ads may be taken from a sub-group of ads relevant to the place the member is visiting, and the particular ads to display may be selected using parameters associated with the user. Also, the ad selection may occur using a combination of attributes for a visiting user, and attributes associated with a page (such as a personal profile page) that the person is visiting. In such a situation, the visitor's profile may show explicitly attributes associated with the user, whereas the place the user visits may reflect implicit attributes, such as the user's (perhaps well hidden) desires. Thus, in this manner ads 102 a-c may be targeted to an end member in general.
  • FIG. 6 shows example user interfaces 600 a-c for creating an advertisement to be presented in relation to a personal web page or search results. The interface 600 a is a representation of a personal ad. The interface 600 a includes a media window 602, a description text 604, and an advertise control 606. The media window 602 presents media, such as an image, audio, or video, to a user viewing and/or listening to the ad. The description text 604 contains the text body of the ad that describes a personal web page being advertised. A user viewing the ad may select the advertise control 606 to initiate the creation his or her own personal ad.
  • The interface 600 b allows an advertiser to select a file to be uploaded from a file list 630. The file may be media such as an image, audio, or video. The file list 630 may contain controls that allow the advertiser to navigate to a location where a particular file associated with the personal web page to be advertised resides. Selecting a file in the file list 630 may initiate the interface 600 c or another control may initiate the interface 600 c.
  • The interface 600 c is an editor for the text description of the personal ad. The interface 600 c includes a text entry area 660 and a text formatting controls 662. An advertiser may make inputs to the text entry area 660 containing the description of the personal ad. The advertiser may format the description, such as with underlining, boldface, color, font, or font size, using the text formatting controls 662.
  • FIG. 7 is a flow chart of an example process 700 for creating an advertisement to be presented in relation to a personal web page or search results. Process 700 begins with a user clicking (702) on “Advertise my profile.” For example, a user may click on the advertise control 606 in the personal ad interface 600 a. Selecting the advertise control 606 initiates an ad generator front end 704. The ad generator front end 704 guides the user through the personal ad creation process.
  • Optionally, process 700 receives (706) a user login to an account. For example, the personal ad creation/modification process may be password protected to prevent unauthorized changes from being made to personal ads.
  • Optionally, process 700 receives (708) a user generated ad. For example, a user may create a personal ad using the interfaces 600 a-c. Alternatively, personal ads may be automatically generated by process 700 using, for example, content from a user's personal web page.
  • Process 700 receives (710) a user-specified cost-per-click, budget, and targets. For example, the user may specify how much the user intends to pay for each action resulting from the personal ad, such as an action of navigating to the user's personal web page via the personal ad or performing an action at the personal web page. Payments may be triggered by various events, such as cost/pay-per-impression, cost/pay-per-click, and cost/pay-per action or acquisition (where action/acquisition may include, for example, adding the user as a friend). Payments made by the advertiser based on the cost-per-click (or other method) may be credited to an entity providing the ad server 118 functionality, an entity responsible for the personal web page where the personal ad is presented, an entity hosting the personal web page where the personal ad is presented (e.g., the social network 106), or some combination of these entities.
  • A payment system 712 tracks the number of times the advertiser's personal web page is accessed via the personal ad. The budget indicates a limit to the number of times the personal ad may be presented and selected. The targets indicate the types of personal web pages where the personal ad is to be presented, or the types of viewers to whom it is to be presented. For example, the keywords 218 (or other attributes) may include the specified target information. The keywords 218 are then used when determining with which personal web pages to display the personal ad in conjunction.
  • Process 700 receives (714) user payment details. For example, the advertiser user may input credit card information or PayPal information to make the payments based on the selected cost-per-click amount.
  • FIG. 8 shows example user interfaces 800 a-d for presenting advertisements related to a personal web page or search results. The interfaces 800 a-d include the advertise control 606. The interfaces 800 a-d present the personal ads 102 a-d having the keywords “Star Trek,” “cycling,” and “local music,” respectively. The interface 800 a presents the personal ads 102 a-c in a horizontal or banner orientation. The interface 800 b presents the personal ads 102 a-c in a vertical or sidebar orientation. The interfaces 800 a-b may represent the personal ads 102 a-c as described above with reference to FIGS. 1 and 3. In another example, a single personal ad may be shown, such as the personal ad 102 a in the interface 800 c, or two personal ads may be shown, such as the personal ads 102 a-b in the interface 800 d.
  • FIG. 9 is a schematic diagram of an example of a generic computer system 900. The system 900 can be used for the operations described in association with the method 300 according to one implementation. For example, the system 900 may be included in either or all of the social network 106, the external server 108, the user B client 116, the client 304, the search server 310, and the payment system 712.
  • The system 900 includes a processor 910, a memory 920, a storage device 930, and an input/output device 940. Each of the components 910, 920, 930, and 940 are interconnected using a system bus 950. The processor 910 is capable of processing instructions for execution within the system 900. In one implementation, the processor 910 is a single-threaded processor. In another implementation, the processor 910 is a multi-threaded processor. The processor 910 is capable of processing instructions stored in the memory 920 or on the storage device 930 to display graphical information for a user interface on the input/output device 940.
  • The memory 920 stores information within the system 900. In one implementation, the memory 920 is a computer-readable medium. In one implementation, the memory 920 is a volatile memory unit. In another implementation, the memory 920 is a non-volatile memory unit.
  • The storage device 930 is capable of providing mass storage for the system 900. In one implementation, the storage device 930 is a computer-readable medium. In various different implementations, the storage device 930 may be a floppy disk device, a hard disk device, an optical disk device, or a tape device.
  • The input/output device 940 provides input/output operations for the system 900. In one implementation, the input/output device 940 includes a keyboard and/or pointing device. In another implementation, the input/output device 940 includes a display unit for displaying graphical user interfaces.
  • The features described can be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. The apparatus can be implemented in a computer program product tangibly embodied in an information carrier, e.g., in a machine-readable storage device or in a propagated signal, for execution by a programmable processor; and method steps can be performed by a programmable processor executing a program of instructions to perform functions of the described implementations by operating on input data and generating output. The described features can be implemented advantageously in one or more computer programs that are executable on a programmable system including at least one programmable processor coupled to receive data and instructions from, and to transmit data and instructions to, a data storage system, at least one input device, and at least one output device. A computer program is a set of instructions that can be used, directly or indirectly, in a computer to perform a certain activity or bring about a certain result. A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • Suitable processors for the execution of a program of instructions include, by way of example, both general and special purpose microprocessors, and the sole processor or one of multiple processors of any kind of computer. Generally, a processor will receive instructions and data from a read-only memory or a random access memory or both. The essential elements of a computer are a processor for executing instructions and one or more memories for storing instructions and data. Generally, a computer will also include, or be operatively coupled to communicate with, one or more mass storage devices for storing data files; such devices include magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and optical disks. Storage devices suitable for tangibly embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, ASICs (application-specific integrated circuits).
  • To provide for interaction with a user, the features can be implemented on a computer having a display device such as a CRT (cathode ray tube) or LCD (liquid crystal display) monitor for displaying information to the user and a keyboard and a pointing device such as a mouse or a trackball by which the user can provide input to the computer.
  • The features can be implemented in a computer system that includes a back-end component, such as a data server, or that includes a middleware component, such as an application server or an Internet server, or that includes a front-end component, such as a client computer having a graphical user interface or an Internet browser, or any combination of them. The components of the system can be connected by any form or medium of digital data communication such as a communication network. Examples of communication networks include, e.g., a LAN, a WAN, and the computers and networks forming the Internet.
  • The computer system can include clients and servers. A client and server are generally remote from each other and typically interact through a network, such as the described one. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
  • Although a few implementations have been described in detail above, other modifications are possible. For example, the payment system 712 described in association with FIG. 7 can include a micropayment system. In one implementation, the micropayment system can track a number of times a user selects a URL in an advertisement for a personal profile. Instead of charging a person associated with the advertisement each time the URL is selected, the micropayment system can charge the user after a charges associated with the clicks have crossed a predefined threshold, such as ten dollars. Alternatively, the micropayment system can accept a payment from a user and create an account that the fees are debited against.
  • In other implementations, the source of the advertisements of profiles from a first online social network may be displayed with profiles hosted by a second online social network. An external web server can receive profile information from the first online social network and transmit advertisements for profiles from the second online social network for display with profiles hosted by the first online social network.
  • In yet other implementations, a personal profile includes web pages not associated with a social network. These web pages may not include a standard structure of categories that describe a user. A user may design a web page that includes a variety of content include information about the user. For example, geocities.com hosts a variety of web sites that describe personal aspects of users of the web hosting service. These websites may be noncommercial websites, where the primary purpose of the content of the user designed website may be expressing personal information and interests instead of promoting a product for sale. Although advertisements for products may be generated and associated by the web hosting service for display with the user designed website, the content of the websites may still be noncommercial.
  • In addition, the logic flows depicted in the figures do not require the particular order shown, or sequential order, to achieve desirable results. In addition, other steps may be provided, or steps may be eliminated, from the described flows, and other components may be added to, or removed from, the described systems. Accordingly, other implementations are within the scope of the following claims.

Claims (15)

1. A computer-implemented method for determining personal advertisements for display with search results, the method comprising:
receiving, using a computer system, a query that corresponds to content associated with members of an online social network;
generating, using the computer system, search results that are responsive to the query;
obtaining, using the computer system, information that characterizes a personal advertisement that advertises a particular member of the online social network;
comparing, using the computer system, information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results; and
providing the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results, the personal advertisement including a link to a document for the particular member on the online social network.
2. The method of claim 1, wherein the particular member is a group on the online social network.
3. The method of claim 1, further comprising monitoring accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented.
4. The method of claim 3, further comprising generating a fee that is charged to the particular member based on at least one of the accesses.
5. The method of claim 3, further comprising generating a payment that is paid to the online social network based on at least one of the accesses.
6. A computer-readable storage medium storing instructions that, when executed by one or more processing devices, cause the processing devices to perform operations comprising:
receiving, using a computer system, a query that corresponds to content associated with members of an online social network;
generating, using the computer system, search results that are responsive to the query;
obtaining, using the computer system, information that characterizes a personal advertisement that advertises a particular member of the online social network;
comparing, using the computer system, information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results; and
providing the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results, the personal advertisement including a link to a document for the particular member on the online social network.
7. The storage medium of claim 6, wherein the particular member is a group on the online social network.
8. The storage medium of claim 6, wherein the operations further comprise monitoring accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented.
9. The storage medium of claim 8, wherein the operations further comprise generating a fee that is charged to the particular member based on at least one of the accesses.
10. The storage medium of claim 8, wherein the operations further comprise generating a payment that is paid to the online social network based on at least one of the accesses.
11. A computer-implemented system for providing personal advertisements for display with search results, the system comprising:
a search engine executing on a computer system to receive a query that corresponds to content associated with members of an online social network, and to generate search results that are responsive to the query;
a personal advertisement database to store a personal advertisement that advertises a particular member of the online social network, the personal advertisement including a link to a document for the particular member on the online social network;
a personal advertisement server executing on the computer system to compare information associated with the search results to the information that characterizes the personal advertisement to determine whether at least a portion of the personal advertisement is related to at least a portion of the search results; and
an interface to provide the personal advertisement for display with the search results in response to determining that at least a portion of the information that characterizes the personal advertisement is related to at least a portion of the search results.
12. The system of claim 11, wherein the particular member is a group on the online social network.
13. The system of claim 11, wherein the interface monitors accesses of the document for the particular member on the online social network that occur as a result of the personal advertisement being presented.
14. The system of claim 13, wherein the interface generates a fee that is charged to the particular member based on at least one of the accesses.
15. The system of claim 13, wherein the interface generates a payment that is paid to the online social network based on at least one of the accesses.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100121720A1 (en) * 2008-09-02 2010-05-13 Anchorfree, Inc. Method and apparatus for user generated advertising
US8706739B1 (en) * 2012-04-26 2014-04-22 Narus, Inc. Joining user profiles across online social networks
US20140214815A1 (en) * 2013-01-31 2014-07-31 Linkedin Corporation Displaying results of queries for information within social networks

Families Citing this family (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8874477B2 (en) 2005-10-04 2014-10-28 Steven Mark Hoffberg Multifactorial optimization system and method
US7756855B2 (en) * 2006-10-11 2010-07-13 Collarity, Inc. Search phrase refinement by search term replacement
US8903810B2 (en) 2005-12-05 2014-12-02 Collarity, Inc. Techniques for ranking search results
US8429184B2 (en) 2005-12-05 2013-04-23 Collarity Inc. Generation of refinement terms for search queries
US7945653B2 (en) * 2006-10-11 2011-05-17 Facebook, Inc. Tagging digital media
US20080005282A1 (en) * 2006-07-03 2008-01-03 Dewey Gaedcke Method for displaying user generated content in a web browser
US20080005125A1 (en) * 2006-07-03 2008-01-03 Dewey Gaedeke System for displaying user generated content in a web browser
US8572169B2 (en) * 2006-08-28 2013-10-29 Myspace, Llc System, apparatus and method for discovery of music within a social network
US20080071616A1 (en) * 2006-09-15 2008-03-20 Speedus Corp. System and Method for Ensuring Delivery of Advertising
US8442972B2 (en) * 2006-10-11 2013-05-14 Collarity, Inc. Negative associations for search results ranking and refinement
US20080147742A1 (en) * 2006-12-13 2008-06-19 Chris Allen Method and system for evaluating evaluators
US20080154678A1 (en) * 2006-12-21 2008-06-26 Botelho Stephen F Internet based search engine advertising exchange
US20080215416A1 (en) * 2007-01-31 2008-09-04 Collarity, Inc. Searchable interactive internet advertisements
US20080189169A1 (en) * 2007-02-01 2008-08-07 Enliven Marketing Technologies Corporation System and method for implementing advertising in an online social network
US20080294607A1 (en) * 2007-05-23 2008-11-27 Ali Partovi System, apparatus, and method to provide targeted content to users of social networks
US20080294624A1 (en) * 2007-05-25 2008-11-27 Ontogenix, Inc. Recommendation systems and methods using interest correlation
US7734641B2 (en) 2007-05-25 2010-06-08 Peerset, Inc. Recommendation systems and methods using interest correlation
WO2009012466A2 (en) * 2007-07-19 2009-01-22 Google Inc. Ad targeting using reference page information
US20140304228A1 (en) * 2007-10-11 2014-10-09 Adobe Systems Incorporated Keyword-Based Dynamic Advertisements in Computer Applications
US20090132368A1 (en) * 2007-10-19 2009-05-21 Paul Cotter Systems and Methods for Providing Personalized Advertisement
US8799068B2 (en) * 2007-11-05 2014-08-05 Facebook, Inc. Social advertisements and other informational messages on a social networking website, and advertising model for same
US9123079B2 (en) 2007-11-05 2015-09-01 Facebook, Inc. Sponsored stories unit creation from organic activity stream
US9990652B2 (en) 2010-12-15 2018-06-05 Facebook, Inc. Targeting social advertising to friends of users who have interacted with an object associated with the advertising
US20120203831A1 (en) 2011-02-03 2012-08-09 Kent Schoen Sponsored Stories Unit Creation from Organic Activity Stream
US20090144139A1 (en) * 2007-11-29 2009-06-04 Dewey Gaedcke System and method of facilitating commercial transactions using content added to web sites
US20090164275A1 (en) * 2007-12-21 2009-06-25 Yiling Chen Revenue-sharing to incentivize users to reveal online purchasing interests
US8768922B2 (en) * 2008-02-08 2014-07-01 Microsoft Corporation Ad retrieval for user search on social network sites
US20090228296A1 (en) * 2008-03-04 2009-09-10 Collarity, Inc. Optimization of social distribution networks
US8543924B2 (en) * 2008-03-06 2013-09-24 Microsoft Corporation Contextual-display advertisement
US8478841B2 (en) * 2008-06-20 2013-07-02 Kenneth J. Spitzer Systems and methods for managing electronically delivered information channels
US8438178B2 (en) * 2008-06-26 2013-05-07 Collarity Inc. Interactions among online digital identities
US10489747B2 (en) * 2008-10-03 2019-11-26 Leaf Group Ltd. System and methods to facilitate social media
US20100293017A1 (en) * 2009-05-18 2010-11-18 Contenture, Inc. Micropayment and website content control systems and methods
US9014546B2 (en) 2009-09-23 2015-04-21 Rovi Guides, Inc. Systems and methods for automatically detecting users within detection regions of media devices
US8875038B2 (en) 2010-01-19 2014-10-28 Collarity, Inc. Anchoring for content synchronization
US20110264522A1 (en) * 2010-04-26 2011-10-27 Webjuice, LLC Direct targeting of advertisements to social connections in a social network environment
US9183557B2 (en) 2010-08-26 2015-11-10 Microsoft Technology Licensing, Llc Advertising targeting based on image-derived metrics
US9484065B2 (en) 2010-10-15 2016-11-01 Microsoft Technology Licensing, Llc Intelligent determination of replays based on event identification
US8667519B2 (en) 2010-11-12 2014-03-04 Microsoft Corporation Automatic passive and anonymous feedback system
US20120311462A1 (en) * 2011-05-12 2012-12-06 John Devecka System and method for an interactive mobile-optimized icon-based professional profile display and associated search, matching and social network
US20130006765A1 (en) * 2011-06-28 2013-01-03 United Video Properties, Inc. Systems and methods for recommending matching profiles in an interactive media guidance application
US20150206254A1 (en) * 2011-08-12 2015-07-23 Joheem Loh System and method of integrating various platforms and methods of using the same
US20130091013A1 (en) * 2011-10-07 2013-04-11 Microsoft Corporation Presenting Targeted Social Advertisements
US20130246185A1 (en) * 2012-01-04 2013-09-19 Sparkbase LLC System and method for sharing incentives among groups
US20140047089A1 (en) * 2012-08-10 2014-02-13 International Business Machines Corporation System and method for supervised network clustering
US10686898B1 (en) * 2013-03-15 2020-06-16 Twitter, Inc. Music discovery using messages of a messaging platform
US9674563B2 (en) 2013-11-04 2017-06-06 Rovi Guides, Inc. Systems and methods for recommending content
CN104978667A (en) * 2014-04-04 2015-10-14 北京千橡网景科技发展有限公司 Advertisement interaction method and advertisement interaction system
US10346871B2 (en) * 2016-04-22 2019-07-09 Facebook, Inc. Automatic targeting of content by clustering based on user feedback data
CN107038569B (en) * 2016-12-05 2021-05-25 创新先进技术有限公司 Information interaction method and device
US10846745B1 (en) * 2016-12-30 2020-11-24 Amazon Technologies, Inc. Contextual presence
US10455362B1 (en) 2016-12-30 2019-10-22 Amazon Technologies, Inc. Contextual presence
US11631110B2 (en) * 2017-06-29 2023-04-18 Tyler Peppel Audience-based optimization of communication media
KR102353211B1 (en) * 2021-04-14 2022-01-20 쿠팡 주식회사 Electronic apparatus for processing information for providing page and method thereof

Citations (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6285999B1 (en) * 1997-01-10 2001-09-04 The Board Of Trustees Of The Leland Stanford Junior University Method for node ranking in a linked database
US20040059708A1 (en) * 2002-09-24 2004-03-25 Google, Inc. Methods and apparatus for serving relevant advertisements
US20040093327A1 (en) * 2002-09-24 2004-05-13 Darrell Anderson Serving advertisements based on content
US20040148275A1 (en) * 2003-01-29 2004-07-29 Dimitris Achlioptas System and method for employing social networks for information discovery
US20050171832A1 (en) * 2004-01-29 2005-08-04 Yahoo! Inc. Method and system for sharing portal subscriber information in an online social network
US20050278443A1 (en) * 2004-06-14 2005-12-15 Winner Jeffrey B Online content delivery based on information from social networks
US20060080613A1 (en) * 2004-10-12 2006-04-13 Ray Savant System and method for providing an interactive social networking and role playing game within a virtual community
US7120668B2 (en) * 2000-02-22 2006-10-10 Yahoo!, Inc. Systems and methods for matching participants to a conversation
US7188153B2 (en) * 2003-06-16 2007-03-06 Friendster, Inc. System and method for managing connections in an online social network
US20070061195A1 (en) * 2005-09-13 2007-03-15 Yahoo! Inc. Framework for selecting and delivering advertisements over a network based on combined short-term and long-term user behavioral interests
US7197544B2 (en) * 2003-01-09 2007-03-27 Yahoo! Inc. Voice and video greeting system for personal advertisement and method
US20070121843A1 (en) * 2005-09-02 2007-05-31 Ron Atazky Advertising and incentives over a social network
US20070150537A1 (en) * 2005-12-24 2007-06-28 Graham Brian T Social network e-commerce and advertisement tracking system
US20070157119A1 (en) * 2006-01-04 2007-07-05 Yahoo! Inc. Sidebar photos
US20070156636A1 (en) * 2006-01-03 2007-07-05 Yahoo! Inc. Apparatus and method for controlling content access based on shared annotations for annotated users in a folksonomy scheme
US20070198510A1 (en) * 2006-02-03 2007-08-23 Customerforce.Com Method and system for assigning customer influence ranking scores to internet users
US20070214121A1 (en) * 2006-03-09 2007-09-13 Customerforce.Com Ranking search results presented to on-line users as a function of perspectives of relationships trusted by the users
US20080005072A1 (en) * 2006-06-28 2008-01-03 Microsoft Corporation Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce
US20080005073A1 (en) * 2006-06-28 2008-01-03 Microsoft Corporation Data management in social networks
US20080270551A1 (en) * 2007-04-30 2008-10-30 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Rewarding influencers
US7478078B2 (en) * 2004-06-14 2009-01-13 Friendster, Inc. Method for sharing relationship information stored in a social network database with third party databases
US7904337B2 (en) * 2004-10-19 2011-03-08 Steve Morsa Match engine marketing

Family Cites Families (49)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5724521A (en) * 1994-11-03 1998-03-03 Intel Corporation Method and apparatus for providing electronic advertisements to end users in a consumer best-fit pricing manner
US5740549A (en) * 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US6026368A (en) * 1995-07-17 2000-02-15 24/7 Media, Inc. On-line interactive system and method for providing content and advertising information to a targeted set of viewers
KR19990072063A (en) 1995-12-08 1999-09-27 엔, 마이클 그로브 Method and system for showing ads on computer networks
US5848397A (en) * 1996-04-19 1998-12-08 Juno Online Services, L.P. Method and apparatus for scheduling the presentation of messages to computer users
US5948061A (en) * 1996-10-29 1999-09-07 Double Click, Inc. Method of delivery, targeting, and measuring advertising over networks
US6282515B1 (en) 1996-11-08 2001-08-28 Gregory J. Speicher Integrated audiotext-internet personal ad services
US6078914A (en) * 1996-12-09 2000-06-20 Open Text Corporation Natural language meta-search system and method
US6044376A (en) * 1997-04-24 2000-03-28 Imgis, Inc. Content stream analysis
US6144944A (en) * 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
AU8072798A (en) * 1997-06-16 1999-01-04 Doubleclick Inc. Method and apparatus for automatic placement of advertising
US6167382A (en) * 1998-06-01 2000-12-26 F.A.C. Services Group, L.P. Design and production of print advertising and commercial display materials over the Internet
US20020123928A1 (en) 2001-01-11 2002-09-05 Eldering Charles A. Targeting ads to subscribers based on privacy-protected subscriber profiles
US6577716B1 (en) 1998-12-23 2003-06-10 David D. Minter Internet radio system with selective replacement capability
US6985882B1 (en) * 1999-02-05 2006-01-10 Directrep, Llc Method and system for selling and purchasing media advertising over a distributed communication network
US6269361B1 (en) * 1999-05-28 2001-07-31 Goto.Com System and method for influencing a position on a search result list generated by a computer network search engine
US6401075B1 (en) * 2000-02-14 2002-06-04 Global Network, Inc. Methods of placing, purchasing and monitoring internet advertising
US7725523B2 (en) 2000-04-11 2010-05-25 Bolnick David A System, method and computer program product for gathering and delivering personalized user information
US7478089B2 (en) * 2003-10-29 2009-01-13 Kontera Technologies, Inc. System and method for real-time web page context analysis for the real-time insertion of textual markup objects and dynamic content
US20020120506A1 (en) 2000-12-15 2002-08-29 Hagen Philip A. Classified ads software program
WO2003030051A1 (en) 2001-09-30 2003-04-10 Realcontacts Ltd Connection service
US6987987B1 (en) * 2002-07-03 2006-01-17 Sprint Spectrum L.P. Method and system for providing advanced notice of cost to access web content
US7720828B2 (en) * 2004-06-29 2010-05-18 Blake Bookstaff Method and system for automated intelligent electronic advertising
US20040122803A1 (en) 2002-12-19 2004-06-24 Dom Byron E. Detect and qualify relationships between people and find the best path through the resulting social network
US8538895B2 (en) * 2004-03-15 2013-09-17 Aol Inc. Sharing social network information
US7091044B2 (en) 2003-08-29 2006-08-15 Valco Instruments Co., Inc. Partial modulation via pulsed flow modulator for comprehensive two-dimensional liquid or gas chromatography
US20050091202A1 (en) 2003-10-22 2005-04-28 Thomas Kapenda J. Social network-based internet search engine
US7606772B2 (en) 2003-11-28 2009-10-20 Manyworlds, Inc. Adaptive social computing methods
US20050144065A1 (en) * 2003-12-19 2005-06-30 Palo Alto Research Center Incorporated Keyword advertisement management with coordinated bidding among advertisers
US8015119B2 (en) * 2004-01-21 2011-09-06 Google Inc. Methods and systems for the display and navigation of a social network
US7885901B2 (en) 2004-01-29 2011-02-08 Yahoo! Inc. Method and system for seeding online social network contacts
US7269590B2 (en) 2004-01-29 2007-09-11 Yahoo! Inc. Method and system for customizing views of information associated with a social network user
US7769756B2 (en) 2004-06-07 2010-08-03 Sling Media, Inc. Selection and presentation of context-relevant supplemental content and advertising
US7886024B2 (en) 2004-07-01 2011-02-08 Microsoft Corporation Sharing media objects in a network
US7958115B2 (en) * 2004-07-29 2011-06-07 Yahoo! Inc. Search systems and methods using in-line contextual queries
US20060085253A1 (en) 2004-10-18 2006-04-20 Matthew Mengerink Method and system to utilize a user network within a network-based commerce platform
US7677970B2 (en) * 2004-12-08 2010-03-16 Microsoft Corporation System and method for social matching of game players on-line
US7665107B2 (en) 2005-03-11 2010-02-16 Microsoft Corporation Viral advertising for interactive services
US20080052742A1 (en) 2005-04-26 2008-02-28 Slide, Inc. Method and apparatus for presenting media content
US20060271460A1 (en) 2005-05-31 2006-11-30 Ebay Inc. Method and system to provide user created social networks in a distributed commerce system
US8095551B2 (en) 2005-08-18 2012-01-10 Microsoft Corporation Annotating shared contacts with public descriptors
US20070136136A1 (en) 2005-12-09 2007-06-14 Thintropy Inc. Method of intercepting and replacing advertising content
US20070143376A1 (en) 2005-12-16 2007-06-21 Mcintosh Robert Methods, systems, and computer program products for displaying at least one electronic media file on an electronic calendar based on information associated with the electronic calendar
US9336333B2 (en) * 2006-02-13 2016-05-10 Linkedin Corporation Searching and reference checking within social networks
WO2007123760A2 (en) 2006-03-30 2007-11-01 Nebuad, Inc. Network device for monitoring and modifying network traffic between an end user and a content provider
US20080005282A1 (en) * 2006-07-03 2008-01-03 Dewey Gaedcke Method for displaying user generated content in a web browser
US20080301746A1 (en) 2007-05-30 2008-12-04 Wiser Philip R Programming content reconstruction in a content delivery system
US20090106368A1 (en) 2007-10-18 2009-04-23 Adpickles, Inc. Injection advertising technology
US8620288B2 (en) 2007-11-16 2013-12-31 Alcatel Lucent Targeted mobile content insertion and/or replacement

Patent Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6285999B1 (en) * 1997-01-10 2001-09-04 The Board Of Trustees Of The Leland Stanford Junior University Method for node ranking in a linked database
US7120668B2 (en) * 2000-02-22 2006-10-10 Yahoo!, Inc. Systems and methods for matching participants to a conversation
US20040059708A1 (en) * 2002-09-24 2004-03-25 Google, Inc. Methods and apparatus for serving relevant advertisements
US20040093327A1 (en) * 2002-09-24 2004-05-13 Darrell Anderson Serving advertisements based on content
US7197544B2 (en) * 2003-01-09 2007-03-27 Yahoo! Inc. Voice and video greeting system for personal advertisement and method
US20060041543A1 (en) * 2003-01-29 2006-02-23 Microsoft Corporation System and method for employing social networks for information discovery
US20040148275A1 (en) * 2003-01-29 2004-07-29 Dimitris Achlioptas System and method for employing social networks for information discovery
US7188153B2 (en) * 2003-06-16 2007-03-06 Friendster, Inc. System and method for managing connections in an online social network
US20050171832A1 (en) * 2004-01-29 2005-08-04 Yahoo! Inc. Method and system for sharing portal subscriber information in an online social network
US7478078B2 (en) * 2004-06-14 2009-01-13 Friendster, Inc. Method for sharing relationship information stored in a social network database with third party databases
US20050278443A1 (en) * 2004-06-14 2005-12-15 Winner Jeffrey B Online content delivery based on information from social networks
US20060080613A1 (en) * 2004-10-12 2006-04-13 Ray Savant System and method for providing an interactive social networking and role playing game within a virtual community
US7904337B2 (en) * 2004-10-19 2011-03-08 Steve Morsa Match engine marketing
US20070121843A1 (en) * 2005-09-02 2007-05-31 Ron Atazky Advertising and incentives over a social network
US20070061195A1 (en) * 2005-09-13 2007-03-15 Yahoo! Inc. Framework for selecting and delivering advertisements over a network based on combined short-term and long-term user behavioral interests
US20070150537A1 (en) * 2005-12-24 2007-06-28 Graham Brian T Social network e-commerce and advertisement tracking system
US20070156636A1 (en) * 2006-01-03 2007-07-05 Yahoo! Inc. Apparatus and method for controlling content access based on shared annotations for annotated users in a folksonomy scheme
US20070157119A1 (en) * 2006-01-04 2007-07-05 Yahoo! Inc. Sidebar photos
US20070198510A1 (en) * 2006-02-03 2007-08-23 Customerforce.Com Method and system for assigning customer influence ranking scores to internet users
US20070214121A1 (en) * 2006-03-09 2007-09-13 Customerforce.Com Ranking search results presented to on-line users as a function of perspectives of relationships trusted by the users
US20080005072A1 (en) * 2006-06-28 2008-01-03 Microsoft Corporation Search engine that identifies and uses social networks in communications, retrieval, and electronic commerce
US20080005073A1 (en) * 2006-06-28 2008-01-03 Microsoft Corporation Data management in social networks
US20080270551A1 (en) * 2007-04-30 2008-10-30 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Rewarding influencers

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100121720A1 (en) * 2008-09-02 2010-05-13 Anchorfree, Inc. Method and apparatus for user generated advertising
US8706739B1 (en) * 2012-04-26 2014-04-22 Narus, Inc. Joining user profiles across online social networks
US20140214815A1 (en) * 2013-01-31 2014-07-31 Linkedin Corporation Displaying results of queries for information within social networks
US20140214822A1 (en) * 2013-01-31 2014-07-31 Linkedin Corporation Searching for information within social networks
US9251217B2 (en) * 2013-01-31 2016-02-02 Linkedin Corporation Searching for information within social networks

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