WO2007103482A3 - Using cross-site relationships to generate recommendations - Google Patents

Using cross-site relationships to generate recommendations Download PDF

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Publication number
WO2007103482A3
WO2007103482A3 PCT/US2007/005901 US2007005901W WO2007103482A3 WO 2007103482 A3 WO2007103482 A3 WO 2007103482A3 US 2007005901 W US2007005901 W US 2007005901W WO 2007103482 A3 WO2007103482 A3 WO 2007103482A3
Authority
WO
WIPO (PCT)
Prior art keywords
web sites
users
relationship server
recommendations
relationships
Prior art date
Application number
PCT/US2007/005901
Other languages
French (fr)
Other versions
WO2007103482A2 (en
Inventor
Paul J Martino
Original Assignee
Aggregate Knowledge Inc
Paul J Martino
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Aggregate Knowledge Inc, Paul J Martino filed Critical Aggregate Knowledge Inc
Publication of WO2007103482A2 publication Critical patent/WO2007103482A2/en
Publication of WO2007103482A3 publication Critical patent/WO2007103482A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0255—Targeted advertisements based on user history
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/335—Filtering based on additional data, e.g. user or group profiles
    • G06F16/337—Profile generation, learning or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing

Abstract

A relationship server tracks end-user interactions across multiple web sites and generates recommendations. The web sites observe relationships established by end-user interactions. If end-users provide the same personally identifiable information to multiple web sites, the sites generate the same unique identifier for those end-users. The web sites send messages to the relationship server that reference the end-users using the identifiers and describe the relationships observed for the end-users. The relationship server receives messages from multiple web sites and canonicalizes them to produce an efficient representation of the relationships. Upon receiving a message requesting a recommendation based on an item, the relationship server performs collaborative filtering using the relationship data to identify a list of items to recommend. The relationship server sends the recommendations to the requesting entity and the recommendations are presented to the end-user.
PCT/US2007/005901 2006-03-06 2007-03-06 Using cross-site relationships to generate recommendations WO2007103482A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/369,562 2006-03-06
US11/369,562 US7788358B2 (en) 2006-03-06 2006-03-06 Using cross-site relationships to generate recommendations

Publications (2)

Publication Number Publication Date
WO2007103482A2 WO2007103482A2 (en) 2007-09-13
WO2007103482A3 true WO2007103482A3 (en) 2008-05-02

Family

ID=38472588

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/005901 WO2007103482A2 (en) 2006-03-06 2007-03-06 Using cross-site relationships to generate recommendations

Country Status (2)

Country Link
US (1) US7788358B2 (en)
WO (1) WO2007103482A2 (en)

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