发明名称 Gradient based optimization of a ranking measure
摘要 Methods, systems, and apparatuses for generating relevance functions for ranking documents obtained in searches are provided. One or more features to be used as predictor variables in the construction of a relevance function are determined. The relevance function is parameterized by one or more coefficients. A query error is defined that measures a difference between a relevance ranking generated by the relevance function and a training set relevance ranking based on a query and a set of scored documents associated with the query. The query error is a continuous function of the coefficients and aims at approximating errors measures commonly used in Information Retrieval. Values for the coefficients of the relevance function are determined that substantially minimize an objective function that depends on the defined query error.
申请公布号 US7895198(B2) 申请公布日期 2011.02.22
申请号 US20070863453 申请日期 2007.09.28
申请人 YAHOO! INC. 发明人 CHAPELLE OLIVIER
分类号 G06F17/30;G06F7/00 主分类号 G06F17/30
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