CN105812849A - Product recommendation mathod for TV data broadcasting home shopping - Google Patents
Product recommendation mathod for TV data broadcasting home shopping Download PDFInfo
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- CN105812849A CN105812849A CN201410853115.5A CN201410853115A CN105812849A CN 105812849 A CN105812849 A CN 105812849A CN 201410853115 A CN201410853115 A CN 201410853115A CN 105812849 A CN105812849 A CN 105812849A
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- top box
- set top
- project
- home shopping
- content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
Abstract
The present invention relates to a product recommendation method in TV data broadcasting home shopping using viewing history of each set-top box identifier. The method of the present invention is to configure the content of a home shopping broadcast user interface displayed at the same time differently for each set-top box. To this end, a service server for providing a data broadcasting home shopping service collects viewing history data of each set-top box identifier and establishes a recommended content database of each set-top box identifier in advance. In addition, when a set-top box is connected to the service server, the service server extracts recommended content of each set-top box identifier from the recommended content database after identifying an identifier of the set-top box and arranges the recommended content in a content area of the home shopping broadcasting user interface so as to transmit the home shopping broadcasting content to the set-top box.
Description
Technical field
It relates to the project recommendation for purchase data broadcast being connected in the television equipment of Set Top Box, and more particularly, to the item recommendation method in T commerce services.
Background technology
Generally, home shopping is provided to broadcast by television broadcasting.Television broadcasting uses the full frame of television set.The broadcast program contents produced by broadcaster is broadcasted by the full frame of television set etc., and spectators watch home shopping broadcast by the full frame of television set.
The typical broadcast technology of the broadcasted content having by the unidirectional offer of TV image has been improved by numeral electromotive force broadcast technology.Especially, the condition allowing the real-time, interactive relation with user it is made that.Target is the television data broadcast home shopping highly low attention interactive relation with user of the purchase events of user, and often relies on the list or triggering event that select by using long-range control (remotecontrol) to expose.The broadcasted content that the typical user interface of television broadcasting or data broadcast home shopping has shown on full frame in real time or play in VOD pattern.It addition, TV image has included the information area providing range of information and by remotely controlling the toggle area of reaction.
Such typical user interface has following restriction.Having occurred that information area invades the situation of broadcast area, therefore there is following restriction, namely the integrity of broadcasted content receives destruction (broadcast picture is blocked).Beholder is difficult to differentiate between two parts of broadcasting industry, television broadcasting and the data broadcast clearly classified according to broadcast law, namely, it is difficult to distinguish the broadcast home shopping of broadcast home shopping and data, and for broadcasted content beholder less interested owing to only broadcasting a broadcasted content on picture and easy zapping.And, common technology has following technical limitations, i.e. be difficult to unique characteristic (such as, viewing history or the purchasing history) reflection of various beholders to user interface.
Inventors have found that and discussing of the disclosure is various for technically and efficiently solve the various methods of such restriction.Following method being studied, the method can present captivation for more beholders, it is prevented that more beholder leaves home shopping broadcasting channel, and attracts shopping event from more beholder.Being studied for a long period of time by such, the inventor of the disclosure has been completed the disclosure.
Summary of the invention
Present disclose provides a kind of new Consumer's Experience for preventing more beholder from leaving data broadcast home shopping.Such target is by reflecting that the user interface of specific viewing mode or buying pattern is implemented.
Present disclose provides a kind of new user interface broadcasting home shopping for data, its project that can recommend to show the item association of interest with the user with similar viewing mode or buying pattern.
In order to realize such purpose, beholder is illustrated which viewing graphic pattern needs structure to carry out data analysis.The disclosure has been carried out such trial, and develops the recommended project for T commercial data broadcast more accurately.
In the scope can being readily concluded that from detailed description below and its effect, other purpose here do not mentioned of the present invention will be considered extraly.
Illustrative embodiments according to the disclosure, a kind of use is based on the item recommendation method for television data broadcast home shopping broadcast of the viewing history of Set Top Box ID, and described item recommendation method comprises the following steps:
The viewing historical data based on Set Top Box ID is collected to build the content recommendation DB based on Set Top Box ID by the service server providing data broadcast home shopping service；
Being performed to access for the n-th of described service server by Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from described content recommendation DB, extract the content recommendation based on Set Top Box ID, the content extracted is arranged on the content area at home shopping broadcasting user interface and home shopping broadcasted content is sent to described Set Top Box；And
Content recommendation based on Set Top Box ID is shown together with home shopping broadcasted content by described home shopping broadcasting user interface by the DTV being connected to described Set Top Box,
Wherein, the content at the home shopping broadcasting user interface simultaneously shown changes according to described Set Top Box ID.
The described viewing historical data based on Set Top Box ID can include the list of the project within certain period by described Set Top Box ID viewing.
The described viewing historical data based on Set Top Box ID can include the list of other project watched within certain period by the second Set Top Box ID, and this second Set Top Box ID has been viewed by by the project of the first Set Top Box ID viewing.
Weight can be put on the project watched for a long time by Set Top Box ID or watch continually by the described viewing historical data based on Set Top Box ID.
Described item recommendation method can also include: when Set Top Box performs to access for the N+1 time of service server, changes and is shown in the content recommendation based on Set Top Box ID on home shopping broadcasting user interface when n-th accesses by service server.
Described item recommendation method can also include: by service server by using the purchasing history based on Set Top Box ID to extract recommended project the recommended project extracted to be shown on the content area at home shopping broadcasting user interface.
Another exemplary embodiment according to the present invention, a kind of use is based on the item recommendation method for television data broadcast home shopping broadcast of the viewing history of Set Top Box ID, and described item recommendation method comprises the following steps:
Being performed to access for the n-th of service server by Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from preset based on the content recommendation extracted the content recommendation DB of Set Top Box ID based on Set Top Box ID, and the content extracted and home shopping broadcasted content are sent jointly to the DTV being connected to described Set Top Box；And
When described Set Top Box performs for the N+1 time of described service server access, described service server the content recommendation based on Set Top Box ID described in be shown on home shopping broadcasting user interface when described n-th accesses and the content recommendation based on different Set Top Box ID are sent together with described home shopping broadcasted content.
When remotely control to select to be shown on home shopping broadcasting user interface based on the content recommendation of Set Top Box ID time, it is possible to display includes the recommended project page of the list of a plurality of content recommendation prestored.
Another exemplary embodiment according to the present invention, a kind of use is based on the item recommendation method for television data broadcast home shopping broadcast of the viewing history of Set Top Box ID, and described item recommendation method comprises the following steps:
Utilize the project watched continually by each Set Top Box ID, each Set Top Box ID same project repeatedly watched at not same date, another Set Top Box ID having been viewed by same project another project watched and one or more by analyzing in the project of association that the viewing history of all users identifies, service server structure include the content recommendation DB based on Set Top Box ID of the list of recommended project；
Being performed to access for the n-th of described service server by described Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from preset based on the content recommendation extracted the content recommendation DB of Set Top Box ID based on Set Top Box ID, and the content extracted and home shopping broadcasted content are sent jointly to the DTV being connected to described Set Top Box；And
When described Set Top Box performs for the N+1 time of described service server access, described service server content recommendation based on Set Top Box ID described in be shown on home shopping broadcasting user interface when described n-th accesses is sent together with described home shopping broadcasted content with the content recommendation based on different Set Top Box ID.
Accompanying drawing explanation
Illustrative embodiments can be understood in more detail according to as explained below in conjunction with accompanying drawing, wherein:
Fig. 1 schematically shows the example that the network system according to the disclosure constructs.
Fig. 2 is conceptually represented when the situation being shown the user interface for T commercial data broadcast according to the disclosure by the picture of DTV.
Fig. 3 represents the example of the schematic configuration at the home shopping broadcasting user interface 100 of the illustrative embodiments according to the disclosure.
Fig. 4 illustrates relation between Set Top Box 10 and service server 20 in the system structure of the disclosure.
Fig. 5 schematically shows the flow chart of the image recommendation logic using the viewing historical data broadcasting home shopping about data according to embodiment of the present disclosure.
Fig. 6 represents the example for recommending the filtration based on user in the logic of content recommendation according to the disclosure.
Fig. 7 illustrates project-based filtration and the weighting application of the disclosure.
Fig. 8 and Fig. 9 is the example of the specific pictured scene of the home shopping user interface 100 provided by T commercial data broadcast according to the disclosure.
※ is it should be noted that accompanying drawing is shown as the reference of the understanding of the technical spirit for the present invention, and the scope of the right of the present invention is not limited.
Detailed description of the invention
Below with reference to the accompanying drawings embodiment of the present disclosure is described in detail.It addition, make describing the disclosure, if it is determined that detailed description that is relevant to known function and that it will be apparent to those skilled in the art that can make the main contents of the disclosure unnecessarily obscure, then will omit these detailed descriptions.
Statement " T business " in the disclosure is defined as passing through DTV and performs to include the data broadcast service of the business transaction of project information search, purchase and payment.When not having specifically mentioned in the disclosure, statement " home shopping broadcast " is represented as the home shopping broadcast provided by T commercial data broadcast.
In the disclosure, statement " content area " is the region including playing TV applications and home shopping broadcasted content at home shopping broadcasting user interface 100 and provides the region in region of notice of event of content for beholder.Statement " picture area " 110 represents not including content area and being the region of background skin of content area of home shopping broadcasting user interface 100.
<data broadcast home shopping service system>
Fig. 1 schematically shows the network system structure of the disclosure.Network system is limited to about how according to the system conceptual description to provide T commercial data broadcast to service, and does not indicate that the all-network relevant to television broadcasting.
DTV 1 is connected to Set Top Box 10 and performs to send relative to the data of service server 20 and receive via Set Top Box 10.Unique identifier ID (SAID) is assigned to Set Top Box 10, and when DTV 1 accesses service server 20 by Set Top Box 10, service server 20 can obtain the ID of Set Top Box 10, inquiry outside or inside VIEW IN A CUSTOMER INFORMATION SYSTEM and the acquisition user profile corresponding to the ID of Set Top Box 10.Set Top Box 10 is connected to DTV 1 usually by use cable.Set Top Box 10 and service server 20 are connected to for performing television broadcasting and the network medium of data broadcast.Include wiredly and/or wirelessly network.The data transmission receiving cable being connected to service server 20 can enter family and be connected to Set Top Box 10.Remotely control 5 execution for operating the control command of DTV 1.
Data are broadcasted home shopping content and are sent to DTV 1 by service server 20.Service server 20 can have the various DB for managing data broadcast content and resource.DB21 can be VOD content DB.DB23 can be project information DB.DB25 can be user profile DB.And, DB27 can be recommended project DB, and DB29 can be image content DB.It is not seen in fig. 1, but the DB of log and the DB of record charge and payment information can also be included.These DB may be located in the system that service server 20 manages or in the memorizer of external server management.
And, service server 20 can also include storage device, for the device managing, processing, send with receive data, for processing and external device (ED) or the device communicated of system, certification and safety device, and they can include various hardware device, server unit and software.If data resource is in outside or needs are sent to outside, then can by performing a series of process with the communication of external server and device, for instance the process of certification and the authentication information of the ID of the Set Top Box subscriber mated, for determining the process of content recommendation and performing and the process of payment of external financial associated therewith.
Fig. 2 conceptually represents that the screen by DTV shows the situation of the user interface for T commercial data broadcast according to the disclosure.In general, when television equipment starts, television broadcasting picture 1a is generally activated.Can there is ground TV broadcast channel or cable or satellite broadcast channel.User or beholder can operate and remotely control 5 and transmitting control commands, thus picture is switched to data broadcast picture 1b.In the disclosure, data broadcast is utilized to ask television home shopping VOD, i.e. to select T commercial data broadcast to ask television home shopping VOD by user.Therefore, the user interface of the disclosure is shown by digital TV screen.
<user interface 100 for T business home shopping>
Fig. 3 represents the example of the schematic configuration at the home shopping broadcasting user interface 100 of the illustrative embodiments according to the disclosure.In figure 3, dash area is picture area 110.It addition, picture area 110 around region be content area.Content area can include playing the VOD region 120 of home shopping broadcasted content, the TV applications region 130 to 150 with multiple standalone feature and isolated area and event area 160.And, content area can include general symbol(s) (not shown), and it only provides text and/or image information simply.General symbol(s) can include station address, orders telephone number, consulting telephone number, pricing information, project information, remotely control to trigger guidance information, Weather information, offer channel be data broadcast home shopping channel notice message, other guide message or image.Associated description is provided by the Sample Scenario in Fig. 8 and 9.
In general television home shopping broadcast, broadcasted content is play on the full frame of TV.But, in the exemplary embodiment, play in the home shopping of disclosure broadcast that the VOD region 120 of broadcasted content can have the full frame size of TV 30% to 50%.By VOD region 120 being configured to equal to or less than 50% as shown in embodiment, it is possible to obtain beholder can identify the difference between data broadcast home shopping and the general television broadcasting home shopping of the disclosure intuitively.When VOD region 120 is less than 30%, it is possible to there is the visual unfavorable effect reduced of broadcast.
When accessing service server in such embodiment, it is possible to acquiescence display has the user interface 100 in the VOD region 120 of 30% to 50% corresponding to TV image.After so showing user interface 100, it is possible to by using remote control button order full frame view.
As shown in Figure 3, the home shopping broadcasting user interface 100 of the disclosure can include the multiple TV applications regions with standalone feature and isolated area.
First TV applications region 130 can be the real-time ranked list of home shopping broadcast.For instance, it is possible to expression is by the ranking of today of the best item sale of home shopping.In the exemplary embodiment, when have selected the project in list, the VOD content of selected project can also be play on the full frame of new user interface.In this case, list is used as the home shopping channel of data broadcast.In another exemplary embodiment, when passing through to use the long-range project controlling and have selected in list, it is possible to change into another predetermined user interface.New user interface can be to provide the user interface of the more detailed information about selected project.
Second TV applications region 140 can be shown in the content recommendation on content area.List may be displayed on the first TV applications region 130, but the project information recommended by the recommendation logic of the various embodiments of the disclosure can be expressed as text and/or image by the content recommendation in the second TV applications region 140.The ID of the Set Top Box user profile specified can be used and will be made below the detailed description being correlated with.
When utilizing long-range control to have selected the recommended project being shown on the second TV applications region 140, it is possible to shown the list of content recommendation by another user interface of DTV.
3rd TV applications region 150 can show by the predefined project plan content of service server.As an alternative, it is possible to exist by using the predefined recommended project information of another way.
The type of the TV applications shown in Fig. 3 and layout can change.In the illustrative embodiments of the disclosure, most important thing is in that at least one the TV applications region in the content area of home shopping user interface 100 to be utilized the recommended project information recommending logic configuration concrete by service server.
Fig. 4 represents the example of such concept principle in more detail.When beholder utilizes remote control notification home shopping to broadcast, broadcast request can be sent to service server 20 via Set Top Box 10, and in this case, the ID of Set Top Box 10 can be sent to service server 20.
Service server 20 can the ID of subscriber information DB enquiry machine top box 10 in outside or inside service system to obtain user profile.The service server 20 receiving request from beholder can extract VOD broadcasted content from VOD broadcasted content DB210.And, it is possible to above-mentioned TV applications is extracted from DB230 and 270.Recommended project information can be extracted from DB270 by the recommendation logic of the disclosure.And, it is possible to extract image content from image content DB290.It addition, each in broadcasted content, TV applications and image content is positioned to the position assigned by home shopping broadcasting user interface 100 and is sent to DTV.
<generating the various embodiments of recommending data>
Fig. 5 schematically shows the flow chart of the project recommendation logic using the viewing historical data broadcasting home shopping about data according to embodiment of the present disclosure.
In the embodiment of Fig. 5, in step S1100, service server is utilized to broadcast the history log collection history log based on the ID of Set Top Box of home shopping from data according to the item recommendation method of the disclosure.History log is relevant to the viewing history being used for from the T commercial data broadcast of Set Top Box transmission.In a word, the viewing history log data based on Set Top Box ID is collected.
Based on the viewing history of Set Top Box ID can include following at least one: by Set Top Box by the project information of data broadcast home shopping viewing, project category information, specific event information, about the information of the viewing when carried out and about the information that have viewed how many times.Project information can include item price (selling price, purchase framework, the market architecture and discounted cost), classification of the items, brand, manufacturer, price rebate history and search word information.Project category information can include area project, poster project, the project evaluation, sales volume and prior information.Specific event information can include specific event group, specific event classification, specific event project, Event Priority, gerentocratic ID and click history.
When user only have viewed broadcast without utilizing his or her long-range control to have selected certain menu, then it is essential that collect and determine the data of the project that user has watched.In order to determine viewing data in this case, the Set Top Box that can analyze DTV accesses service server and watches the time-bands (namely Set Top Box enters the time-bands of the homepage of data broadcasting service) of home shopping broadcast, and the item code with organization table Data Matching and by corresponding time-bands includes in viewing history.
It follows that service server analyzes viewing data history daily record based on Set Top Box ID to generate project recommending data based on filtering of user with at least one in project-based filtration treatment by using.Each during the two processes can be performed.
In the illustrative embodiments of the disclosure, can be extracted in scheduled time slot based on the filtration of user and have viewed this user and (can be represented by Set Top Box ID, this is because he or she is identified by Set Top Box ID, lower with) list of the project of another user of reference items purpose of watching viewing to be to generate the filter result based on user.In a word, it is possible to the viewing history based on the second Set Top Box ID of the project having been viewed by by the first Set Top Box ID viewing carrys out filtering items.Filter result based on user can be stored in a DB.
And, project-based filtration can extract the list of the project that user watches in scheduled time slot to generate project-based filter result.For example, it is possible to select the list of project that user watched in a week.Project-based filter result can be stored in the 2nd DB.
The filter result based on user and the project-based filter result that are generated can be aggregated and be stored as project recommendation data.When performing such filtration, generate the pond of recommended project and therefore can build the content recommendation DB on the content area that will be shown in home shopping broadcasting user interface 100.When the large number of recommended project, it is possible to push various recommended project information and when the number of project is less and can not guarantee recommended project fully, it is possible to repeat same recommended project information.In the illustrative embodiments of the disclosure, it is possible to the reference number of recommended project is set.Such as, reference number can be eight.Can also be ten or six with reference to number.Reference number purpose is arranged has meaning in the following cases.
Step S1210 and the S1230 of the disclosure is based on historical information, its instruction is the filtration based on user and " viewing of user " of project-based filter identification by Set Top Box ID, and when there is new subscriber or when causing almost without viewing history owing to seldom watching data broadcast home shopping, it is impossible to enough in filtering and analyze the significant data of acquisition.And, such situation can there is limitation in that, only can repeatedly recommend a small amount of project.Therefore, when in the exemplary embodiment, when project recommendation data are less equal than the recommended project of Pre-set reference number, the list of the frequently project of viewing can be extracted from the project that all users watch scheduled time slot, this list is stored in the 3rd DB and is added to project recommendation data.Therefore, even if not guaranteeing recommended project fully merely with DB and the two DB, it is also possible to guarantee enough project recommendation data.
User for not having viewing history the statistical data of all users can also be utilized to provide default recommendation project data.
Such as it is summarized as follows.The viewing history built in the service server of the disclosure recommends three data of extracted as the recommended project based on individual.First, the list of the project that user (the first Set Top Box ID) watches in specific time period is extracted as recommending data.Secondly, the list of the project watched by another project that have viewed the project that user (the first Set Top Box ID) watches in specific time period is extracted as recommending data.3rd, in specific time period, the list of the project of user (N number of Set Top Box ID) most frequent viewing is extracted as recommending data.It addition, the data first extracted are added to the data secondly extracted to generate recommended project pond.When belonging to the number of recommended project in recommended project pond less than Pre-set reference number (that is, eight), it is possible to add the data of the 3rd extraction to generate the list of recommended project.Then, it is possible to change the recommended project being exposed to user interface 100 when user accesses service server, and eight recommended projects can be exposed when user enters the recommended project page.Will be described in detail below.
After step S1210 and 1230, in step S1310 and 1330, it is possible to by weight assignment to the project in project recommendation data so that carrying out preference recommendation.
The weight based on user in step S1310 may refer to task the weight by have viewed with reference to the certain number of times of project or the project of another above user viewing.With by compared with having been viewed by the project watch less than another user of certain number of times with reference to project, the project being assigned with weight can be preferably recommendation.With reference to Fig. 7, relevant particular implementation is described.
And, may refer to task by the weight continuing to watch the project of another user of reference items purpose viewing within equal or longer than the time of certain time based on the weight of user.With by compared with continuing to watch the project of reference items another user of purpose viewing within the time being shorter than certain time, the project being assigned with weight can be preferably recommend.Can by using such weight, according to user, project viewing time is carried out ranking.
Project-based weight in step S1330 can be following weight, project that it is assigned in scheduled time slot user frequently watches or belong to same category of project, or the project watched repeatedly, continually on the different dates or belong to same category of project.Based on such project, user can be grouped.Compared with other project, the project being assigned with weight can be preferably recommend.Therefore, it is possible to the project do not watched by first user in the project of second user's viewing in same group is recommended first user efficiently.
By such process, service server can build the project recommendation pond based on Set Top Box ID in step S1400.It addition, it determines the content recommendation and recommended project that the content area at home shopping broadcasting user interface of DTV includes.
By such process, the content recommendation (such as, the region 140 in Fig. 4 or other content area) that specific project is recommended anyone of the content area at home shopping broadcasting user interface 100 can change according to user.In a word, the beholder of viewing the same family shopping broadcast simultaneously has different TV image.
And, in the disclosure, the step S1400 of recommended project can recommend new project based on machine learning when entering channel.Therefore, it is possible to user interface is configured to same beholder can have the different content recommendations being shown on content area simultaneously.
Fig. 6 represents the example for recommending the filtration based on user in the logic of content recommendation according to the disclosure.Pass through Fig. 6, it is possible to learn how to recommend the project by have viewed another user of the reference items purpose viewing watched by a certain user.
Assume that Robert have viewed project A to D, Kim and have viewed project B, and Lee have viewed project B, C and E.Service server can identify this situation by viewing daily record.
First, discuss the disclosure service server by project-based filtration to which project Robert recommends.The project jointly watched due to Robert, Kim and Lee is project B, and therefore, project can be with reference to project.
Kim and Lee is taken as have viewed other user with reference to project B.Kim has not seen any project except reference project B.Lee also have viewed project C and E except reference project B.Therefore, have viewed the project of other user of reference items purpose viewing of Robert viewing is project C and E, and the project do not watched by Robert in the project of Kim and Lee viewing is project E.Service server can also recommend have viewed project C and the E of other user of the reference items purpose viewing watched by Robert to Robert.For easy description, Fig. 6 illustrates the project that in the project recommending other user viewing, he or she does not watch.
At Kim, Robert and Lee as when have viewed other user of reference project B of Kim viewing, Robert have viewed project A to D and Lee have viewed project B, C and E.Therefore, have viewed the project of other user viewing of the reference project B of Kim viewing is A, C, D and E, and the disclosure can to Kim recommended project A, C, D and E.
At Lee, Robert and Kim as when have viewed Lee other user of reference items purpose watched, Robert have viewed project A to D and Kim have viewed project B.Therefore, the project of other user viewing having been viewed by the reference project B of Lee viewing is project A, C and D.When assuming to recommend the Lee project do not watched, the disclosure can to Kim recommended project A and D.
But, owing to the item recommendation method of the disclosure does not only use project-based filtration to carry out recommended project, therefore, the recommended project in Fig. 6 does not limit the disclosure.
It can be appreciated that there is Robert and Lee also have viewed the history of project C except reference project B.Namely, it is possible to Robert and Lee is categorized as association user similar in project interested.In this case, the user that have viewed a lot of project can be applied weight as association user and when recommended project to by the project of association user's viewing by the item recommendation method of the disclosure.By applying weight, first recommend the project by similar in project interested Robert viewing can cause bigger interest and therefore for Lee to Lee, by the sale increase using such system that data can be promoted broadcast.
Fig. 7 illustrates that the project-based filtration of the disclosure and weight apply.There are two kinds of situations.
First, first the recommendation logic for the left hand situation with reference to project AAA is described.Illustrate that project and the user 1 and 2 of user 1 and 2 viewing by the user as viewing reference project AAA have viewed respective items purpose number of times.N1 represents that user have viewed reference items purpose number of times and user have viewed respective items purpose number of times.Such as, user have viewed with reference to project AAA twice and watches reference project cccc79 time.Have viewed the project (cccc to iiii) that the user 1 with reference to project AAA watches and can be recommended to have viewed the user 2 of same reference project AAA.
In another embodiment applying weight, the project (such as, user 1 have viewed the cccc of 79 times) that the item recommendation method of the disclosure frequently can be watched to user 1 in the project that user 2 preferably recommends (compared with other project) user 1 to watch.
It follows that describe the recommendation logic of the right hand situation for reference project BBB.Assume that user 1 to 5 is as have viewed the user with reference to project BBB.As directed, it can be seen that user 1 have viewed reference project 36 times.The item recommendation method of the illustrative embodiments according to the disclosure can preferably recommend (compared with the project that other user watches) more frequently to watch, than other user, the project (such as, oooo) that reference items purpose user 1 watches.
<pictured scene>
Fig. 8 and Fig. 9 is the example of the specific pictured scene of the home shopping user interface 100 provided by the T commercial data broadcast according to the disclosure.Therefore, the user interface 100 of the disclosure can be implemented in a variety of manners and change.User's pictured scene in Fig. 8 is represented as exaggerated relative to help the understanding described.Therefore, the size of picture and the details and images of ratio, text actually change and optimised.
When beholder asks remotely to control to provide home shopping broadcast, it is possible to show home shopping broadcasting user interface 100 in the scene in Fig. 8 in TV image.Dash area is picture area 110 and other parts are content areas.Picture area 110 can be generally of rectangular shape around the combination of the remaining area of user interface 100 and remaining users interface zone.Picture area 110 is not limited to rectangular shape around the shape of remaining area.
As it has been described above, VOD region 120 has the region of the 30% to 50% of the size of the full frame corresponding to TV and can watch the position broadcasting broadcasted content of content when beholder watches content best.Offer broadcast is not television broadcasting home shopping but the text that guides of the notice of data broadcast home shopping may be displayed on the upper region 101 in VOD region 120.And, the left region 125 in VOD region 120 can have vertical elongated shape (it has sphering top and rounded bottom and shows the first additional information about the commodity being broadcasted), and lower region 127 can show the second additional information.Furthermore, it is possible to include providing the toggle area 129 that can pass through to press the notice that " OK " button remotely controlled is switched to full frame.
First TV applications region 130 can show the real-time ranked list of T commercial data broadcast on the right side in VOD region 120.The content recommendation relevant to the project recommended by above-mentioned recommendation logic may be displayed on the second TV applications region 140 being positioned at the first TV applications region 130 lower left, and be may be displayed on the 3rd TV applications region 150 adjacent with right side by service server predetermined project plan content.And, event area 161 to 163 can be arranged in below VOD region 120 and event area can include allowing remotely control execution event or perform the button of scheduled event according to the order remotely controlled.
The station address of service server, order telephone number and shortcut menu button can include on the lower region 180 of user interface 100.Region, weather icon and the temperature information specified by the ID of Set Top Box can be shown in the right regions 190 of user interface 100.
On user's picture in fig. 8, when user utilizes his or her long-range control to have selected the content recommendation on the second TV applications region 140 of display recommended project, it is possible to enter the recommended project page 149 in Fig. 9.The recommended project page 149 can include recommended project classification 142 and the recommended project list 144 of the individual recommended project of display.
<extra description and various variation>
1., according to the disclosure, the display of the content area at home shopping broadcasting user interface can be passed through to use the viewing history based on Set Top Box ID, changes according to Set Top Box ID (that is, user).For this, it should the daily record of logging machine top box ID efficiently.
Set Top Box accesses service server and records corresponding SAID when performing TV applications by home shopping broadcasting user interface 100.The viewing history log based on SAID is generated by applying the DB including purchase information, project information, home shopping program arrangement information and viewing project log file.Collected the daily record of each generation by data collector and store it in distributed file system.It addition, after obtaining based on the profile of the viewing history of SAID, generate the project recommendation data based on SAID and be service provisioning items recommendation results by API.DAISY system can be used as collection structure data and unstructured data, storage the management system analyzing daily record and metadata.
2. the DAISY of the disclosure as above recommends logic based on the viewing history of SAID.The project recommendation based on purchasing history can also be added process.
In a still further aspect thereof, it is possible to by using the proposed algorithm based on viewing history and the proposed algorithm based on purchasing history to strengthen the project recommendation pond based on SAID.Such as, as it has been described above, service server is by using the former data based on viewing history to extract the viewing history based on SAID, analyzing and associating user, remembers and assign weight and build the recommended project pond based on SAID.Can by using the metadata of the classification and the project of service server that include project extract the purchase history data based on individual and bought item can associate the associated item being analyzed so that the project recommendation pond based on SAID is extended or to be strengthened to the purchasing history corresponding to specific project.
In another embodiment of the disclosure, when assuming the project that there is broadcast on VOD region 120, additionally it is possible to extract another project bought by the user that have purchased project that is that broadcasting and that recommend according to purchase frequency.In some embodiments, purchasing history can be used as weight in the pond building the recommended project that will be shown as content recommendation on region 140.In other embodiments, additionally it is possible to by using purchasing history to extract the content being shown on region 150.By such variation, it is possible to show the project with the item association broadcasted on VOD region 120 and also the project associated with the recommended project of display on region 140 can be shown.
3. the system of the disclosure can collect and analyze the viewing history based on Set Top Box ID and purchasing history.As analyze as a result, it is possible to determine the grade of user.
The image content on the picture area 110 being shown in home shopping broadcasting user interface can be changed according to user gradation.Even if provide home shopping broadcast at the same time, being shown in the background skin on the picture area 110 at home shopping broadcasting user interface 100 can change according to according to the Set Top Box ID grade assigned.In such embodiment, the visuality at home shopping broadcasting user interface 100 and content are all according to changing based on the viewing history of Set Top Box ID.Therefore, enabling realize more user-friendly and more attractive home shopping broadcast.
The disclosure analyzes the uniqueness viewing mode of the user based on Set Top Box ID and exactly by using system metadata to analyze buying pattern exactly.It addition, advantage is in that, it is possible to by using such analytical data extract recommended project or associated item and such content recommendation can be shown on the content area at home shopping broadcasting user interface independent of VOD broadcasted content.Therefore, it is possible to prevent beholder from leaving data broadcast home shopping and effectively causing purchase events.
It is additionally, since the disclosure apply weight when recommended project and preferably recommend by the project of another user viewing similar in project interested to user, therefore, it is possible to attract bigger interest.Therefore, it is possible to promote that the sale of data broadcast home shopping increases.
But it should be noted that processing like that as described in the present disclosure the following describes the effect estimated by the technical characteristic of the disclosure and here without the hypothesis effect mentioned.
The protection domain of the disclosure is not limited to description and the statement of specifically mentioned embodiment above.Also, it should be noted again that, the protection domain of the disclosure can not be limited due to change apparent in art of the present invention or replacement.
Claims (9)
1. using the item recommendation method for television data broadcast home shopping broadcast of the viewing history based on Set Top Box ID, described item recommendation method comprises the following steps:
The viewing historical data based on Set Top Box ID is collected to build the content recommendation DB based on Set Top Box ID by the service server providing data broadcast home shopping service；
Being performed to access for the n-th of described service server by Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from described content recommendation DB, extract the content recommendation based on Set Top Box ID, the content extracted is arranged on the content area at home shopping broadcasting user interface and home shopping broadcasted content is sent to described Set Top Box；And
Content recommendation based on Set Top Box ID is shown together with home shopping broadcasted content by described home shopping broadcasting user interface by the DTV being connected to described Set Top Box,
Wherein, the content at the home shopping broadcasting user interface simultaneously shown changes according to described Set Top Box ID.
2. item recommendation method according to claim 1, wherein, the described viewing historical data based on Set Top Box ID includes the list of the project within certain period by described Set Top Box ID viewing.
3. item recommendation method according to claim 1, wherein, the described viewing historical data based on Set Top Box ID includes the list of other project watched within certain period by the second Set Top Box ID, and this second Set Top Box ID has been viewed by by the project of the first Set Top Box ID viewing.
4. item recommendation method according to claim 1, wherein, weight is put on the project watched for a long time by described Set Top Box ID or watched continually by the described viewing historical data based on Set Top Box ID.
5. item recommendation method according to claim 1, described item recommendation method also includes: when described Set Top Box performs to access for the N+1 time of described service server, change when described n-th accesses described in described service server is shown on described home shopping broadcasting user interface content recommendation based on Set Top Box ID.
6. item recommendation method according to claim 1, described item recommendation method also includes: by described service server by using the described purchasing history based on Set Top Box ID to extract recommended project, the recommended project extracted to be shown on the content area at described home shopping broadcasting user interface.
7. using the item recommendation method for television data broadcast home shopping broadcast of the viewing history based on Set Top Box ID, described item recommendation method comprises the following steps:
Being performed to access for the n-th of service server by Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from preset based on the content recommendation extracted the content recommendation DB of Set Top Box ID based on Set Top Box ID, and the content extracted and home shopping broadcasted content are sent jointly to the DTV being connected to described Set Top Box；And
When described Set Top Box performs for the N+1 time of described service server access, described service server the content recommendation based on Set Top Box ID described in be shown on home shopping broadcasting user interface when described n-th accesses and the content recommendation based on different Set Top Box ID are sent together with described home shopping broadcasted content.
8. the item recommendation method according to any claim in claim 1 to 7, wherein, when described in remotely controlling to select to be shown on described home shopping broadcasting user interface based on the content recommendation of Set Top Box ID, display includes the recommended project page of the list of a plurality of content recommendation prestored.
9. using the item recommendation method for television data broadcast home shopping broadcast of the viewing history based on Set Top Box ID, described item recommendation method comprises the following steps:
Utilize the project watched continually by each Set Top Box ID, each Set Top Box ID same project repeatedly watched at not same date, another Set Top Box ID having been viewed by same project another project watched and one or more by analyzing in the project of association that the viewing history of all users identifies, service server structure include the content recommendation DB based on Set Top Box ID of the list of recommended project；
Being performed to access for the n-th of described service server by described Set Top Box, N is greater than the integer of 1；
The ID of Set Top Box described in described service server identification, from preset based on the content recommendation extracted the content recommendation DB of Set Top Box ID based on Set Top Box ID, and the content extracted and home shopping broadcasted content are sent jointly to the DTV being connected to described Set Top Box；And
When described Set Top Box performs for the N+1 time of described service server access, described service server content recommendation based on Set Top Box ID described in be shown on home shopping broadcasting user interface when described n-th accesses is sent together with described home shopping broadcasted content with the content recommendation based on different Set Top Box ID.
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| KR1020140130013A KR101539182B1 (en) | 2014-09-29 | 2014-09-29 | Product recommendation mathod for tv data broadcasting home shopping based on viewing history of each settop box identifier |
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