| Patent application number | Description | Published |
|---|
| 20090089273 | SYSTEM FOR DETECTING ASSOCIATIONS BETWEEN ITEMS - A method of detecting associations between items can include identifying a plurality of items represented in a data repository from which to select items to recommend to a target user, each item including one or more attributes. A degree of fit between an item's attributes and other items is calculated. The degree of fit can indicate the relevance of the attributes of one item to the other item. A degree of association between the two items is calculated based at least in part on the calculated degree of fit. The degree of association between the two items can indicate the relatedness of the two items. Based on this degree of association, an association between the items can be stored in a data repository. | 04-02-2009 |
| 20090089314 | DUPLICATE ITEM DETECTION SYSTEM AND METHOD - A method of detecting contextual duplicate items can include identifying a plurality of representations of items in a data repository, each item representation including one or more textual attributes. A degree of fit between an item representation's attributes and other items can be calculated. The degree of fit can reflect the relevance of the attributes of one item to the other item. A degree of association between the two item representations can be calculated based at least in part on the calculated degree of fit. The degree of association between the two item representations can reflect the similarity of the two items. The degree of association between the two item representations can be assessed to determine whether the items are contextual duplicates. | 04-02-2009 |
| 20090132459 | PROCESSES FOR IMPROVING THE UTILITY OF PERSONALIZED RECOMMENDATIONS GENERATED BY A RECOMMENDATION ENGINE - A recommendation system increases the diversity of item recommendations provided to a target user by using item similarity data to filter an initial recommendation set. In one embodiment, selected items are filtered from the initial recommendation set based on similarity scores that represent degrees of similarity between particular items. The similarity scores may be generated based on an automated comparison of item attributes or content, or based on another measure of item similarity. | 05-21-2009 |
| 20090171754 | WIDGET-ASSISTED DETECTION AND EXPOSURE OF CROSS-SITE BEHAVIORAL ASSOCIATIONS - A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user. | 07-02-2009 |
| 20090171755 | BEHAVIOR-BASED GENERATION OF SITE-TO-SITE REFERRALS - A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user. | 07-02-2009 |
| 20090171968 | WIDGET-ASSISTED CONTENT PERSONALIZATION BASED ON USER BEHAVIORS TRACKED ACROSS MULTIPLE WEB SITES - A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user. | 07-02-2009 |
| 20090172021 | RECOMMENDATIONS BASED ON ACTIONS PERFORMED ON MULTIPLE REMOTE SERVERS - A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user. | 07-02-2009 |
| 20090172551 | BEHAVIOR-BASED SELECTION OF ITEMS TO PRESENT ON AFFILIATE SITES - A content provider system interacts with a network of web sites to provide behavior-based content to users. Operators of the web sites add widgets to selected web pages of their sites. The widgets, when executed on the computing devices of users who view the selected web pages, report user-generated events to the content provider system. The content provider system analyses the reported events to detect behavioral associations between particular web sites, web pages, products, and/or other types of items. The widgets may also retrieve and display behavior-based content that is based on these item-to-item behavioral associations. For example, when a user views a particular web page, a widget on that page may request and display descriptions of, and links to, other sites or pages that are (a) behaviorally related to the page being viewed or an item represented thereon, and/or (b) behaviorally related to the past browsing activities of the particular user. | 07-02-2009 |
