Invention Grant
- Patent Title: Learning retrieval functions incorporating query differentiation for information retrieval
- Patent Title (中): 学习检索功能,包含信息检索的查询差异
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Application No.: US13538237Application Date: 2012-06-29
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Publication No.: US08589371B2Publication Date: 2013-11-19
- Inventor: Gordon Sun , Zhaohui Zheng , Hongyuan Zha
- Applicant: Gordon Sun , Zhaohui Zheng , Hongyuan Zha
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30

Abstract:
The system and method of the present invention allows for the determination of the relevance of a content item to a query through the use of a machine learned relevance function that incorporate query differentiation. A method for selecting a relevance function to determine a relevance of a query-content item pair comprises generating a training set comprising one or more content item-query pairs. Content item-query pairs in the training set are collectively used to determine the relevance function by minimizing a loss function according to a relevance score adjustment function that accounts for query differentiation. The monotocity of relevance score adjustment function allows the trained relevance function to be directly applied to new queries.
Public/Granted literature
- US20120271842A1 LEARNING RETRIEVAL FUNCTIONS INCORPORATING QUERY DIFFERENTIATION FOR INFORMATION RETRIEVAL Public/Granted day:2012-10-25
Information query