发明名称 |
Learning retrieval functions incorporating query differentiation for information retrieval |
摘要 |
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. |
申请公布号 |
US8250061(B2) |
申请公布日期 |
2012.08.21 |
申请号 |
US20060343910 |
申请日期 |
2006.01.30 |
申请人 |
SUN GORDON;ZHENG ZHAOHUI;ZHA HONGYUAN;YAHOO! INC. |
发明人 |
SUN GORDON;ZHENG ZHAOHUI;ZHA HONGYUAN |
分类号 |
G06F7/00;G06F17/30 |
主分类号 |
G06F7/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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