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	Learning to detect task boundaries of query session
	Zhang, Zhenzhong (1) ; Sun, Le (1) ; Han, Xianpei (1)
	2013
会议名称	22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
会议日期	October 27, 2013 - November 1, 2013
会议地点	San Francisco, CA, United states
页码	1885-1888
中文摘要	To accomplish a search task and satisfy a single information need, users usually submit a series of queries to web search engines. It is useful for web search engines to detect the task boundaries in a series of successive queries. Traditional task boundary detection methods are based on time gap and lexical comparisons, which often suffer from the vocabulary gap problem, that is, the topically related queries may not share any common words. In this paper we learn hidden topics from query log and leverage them to resolve the vocabulary gap problem. Unlike other external knowledge resources, such as WordNet and Wikipedia, the hidden topics discovered from query log cover long tail queries, which is useful to detect task boundaries. Experimental results on dataset from real world query log demonstrate that the proposed method achieves significant quality enhancement. Copyright © 2013 ACM.
英文摘要	To accomplish a search task and satisfy a single information need, users usually submit a series of queries to web search engines. It is useful for web search engines to detect the task boundaries in a series of successive queries. Traditional task boundary detection methods are based on time gap and lexical comparisons, which often suffer from the vocabulary gap problem, that is, the topically related queries may not share any common words. In this paper we learn hidden topics from query log and leverage them to resolve the vocabulary gap problem. Unlike other external knowledge resources, such as WordNet and Wikipedia, the hidden topics discovered from query log cover long tail queries, which is useful to detect task boundaries. Experimental results on dataset from real world query log demonstrate that the proposed method achieves significant quality enhancement. Copyright © 2013 ACM.
收录类别	EI
会议录出版地	Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States
语种	英语
ISBN号	9781450322638
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16649]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Zhang, Zhenzhong ,Sun, Le ,Han, Xianpei . Learning to detect task boundaries of query session[C]. 见:22nd ACM International Conference on Information and Knowledge Management, CIKM 2013. San Francisco, CA, United states. October 27, 2013 - November 1, 2013.

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