发明名称 SEARCH RESULT RANKING USING QUERY CLUSTERING
摘要 Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Past queries are analyzed and grouped into clusters according to similarities, with each query including a highly relevant head query and a plurality of tail queries. Similarity of queries may be determined based on user response similarity to query results, co-occurrence, and textual similarity. One or more categories are identified for the clusters, such as based on click-through rates for search results of the head queries of the clusters. Upon receiving a query, a cluster for the query is identified, such as according to similarity to one or more queries of the cluster. The categories associated with the cluster are then used to one or both of augment the query and rank search results for the query.
申请公布号 US2014258330(A1) 申请公布日期 2014.09.11
申请号 US201313794349 申请日期 2013.03.11
申请人 WAL-MART STORES, INC. 发明人 Cheng Jinxing;Gattani Abhishek
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method for searching, the method comprising: receiving, by a computer system, first queries, from a user; identifying, by the computer system, a plurality of head queries from among the first queries; clustering, by the computer system, the first queries, exclusive of the plurality of head queries, to the plurality of head queries; associating, by the computer system, with each head query of the plurality of head queries one or more categories; receiving, by the computer system, a second query; associating, by the computer system, the second query with a selected head query of the plurality of head queries according to similarity of the second query to at least one of the selected head query and one or more first queries associated with the selected head query; identifying, by the computer system, one or more documents relevant to the second query using the one or more categories associated with the selected head query.
地址 Bentonville AR US