Invention Grant
US07827184B2 System and method for modeling user selection feedback in a search result page
有权
用于在搜索结果页面中建模用户选择反馈的系统和方法
- Patent Title: System and method for modeling user selection feedback in a search result page
- Patent Title (中): 用于在搜索结果页面中建模用户选择反馈的系统和方法
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Application No.: US11733585Application Date: 2007-04-10
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Publication No.: US07827184B2Publication Date: 2010-11-02
- Inventor: Ruofei Zhang , Ramesh R. Sarukkai
- Applicant: Ruofei Zhang , Ramesh R. Sarukkai
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ostrow Kaufman LLP
- Agent Seth H. Ostrow
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
The present invention provides for improving the search relevance of a search results page by including a perceived relevance factor. The system, device and method monitors user selection of elements in the search results page, where these selections indicate relevance of the element compared with the original search request. A perceived relevance factor for the element is then determined based on probabilistic-based computations accounting for the element, which may include a description, a thumbnail and/or meta data, and the position of the element on the search results page. Thereby, for future searches and search results page generation, relevance factors may be calculated based on various factors, including the element attribute based relevant scores and the perceived relevance factor.
Public/Granted literature
- US20080256050A1 SYSTEM AND METHOD FOR MODELING USER SELECTION FEEDBACK IN A SEARCH RESULT PAGE Public/Granted day:2008-10-16
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