Mining web query hierarchies from clickthrough data
作者： Weizhu Chen , Qiang Yang , Dou Shen , Zheng Chen , Min Qin
DOI:
关键词: Web query classification 、 Query expansion 、 Relation (database) 、 Web search query 、 Spatial query 、 Information retrieval 、 Web page 、 Computer science 、 Search engine
摘要: In this paper, we propose to mine query hierarchies from clickthrough data, which is within the larger area of automatic acquisition knowledge Web. When a user submits search engine and clicks on returned Web pages, user's understanding as well its relation pages encoded in data. With millions queries being submitted engines every day, it both important beneficial hidden their intended pages. We can use information various ways, such providing suggestions organizing queries. plan exploit logs by constructing hierarchies, reflect relationship among Our proposed method consists two stages: generating candidate determining "generalization/specialization" relatinns between these hierarchy. test our some labeled data sets illustrate effectiveness solution empirically.
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