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	Query topic detection for reformulation
	He, Xuefeng ; Yan, Jun ; Ma, Jinwen ; Liu, Ning ; Chen, Zheng
	2007
英文摘要	In this paper, we show that most multiple term queries include more than one topic and users usually reformulate their queries by topics instead of terms. In order to provide empirical evidence on user's reformulation behavior and to help search engines better handle the query reformulation problem, we focus on detecting internal topics in the original query and analyzing users. reformulation to those topics. Particularly, we utilize the Interaction Information (II) to measure the degree of one sub-query being a topic based on the local search results. The experimental results on query log show that: most users reformulate query at the topical level; and our proposed II-based algorithm is a good method to detect topics from original queries.; EI; 0
语种	英语
出处	EI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/328495]
专题	数学科学学院
推荐引用方式 GB/T 7714	He, Xuefeng,Yan, Jun,Ma, Jinwen,et al. Query topic detection for reformulation. 2007-01-01.

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