发明名称 TRAINING A RANKING FUNCTION USING PROPAGATED DOCUMENT RELEVANCE
摘要 A method and system for propagating the relevance of labeled documents to a query to unlabeled documents is provided. The propagation system provides training data that includes queries, documents labeled with their relevance to the queries, and unlabeled documents. The propagation system then calculates the similarity between pairs of documents in the training data. The propagation system then propagates the relevance of the labeled documents to similar, but unlabeled, documents. The propagation system may iteratively propagate labels of the documents until the labels converge on a solution. The training data with the propagated relevances can then be used to train a ranking function. ® KIPO & WIPO 2009
申请公布号 KR20080106190(A) 申请公布日期 2008.12.04
申请号 KR20087020366 申请日期 2008.08.20
申请人 MICROSOFT CORP. 发明人 WANG JUE;LI MINGJING;MA WEI YING;LI ZHIWEI
分类号 G06F17/30 主分类号 G06F17/30
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