Identifying user intent through query refinements

CORC > 文献情报中心 > 中国科学院文献情报中心 > Journal of Data and Information Science > Chinese Journal of Library and Information Science-2013

	Identifying user intent through query refinements
	ZHANG Xiaojuan ; LU Wei
刊名	chinese journal of library and information science
	2013-09-25
卷号	6 期号:3 页码:1-14
关键词	Query intent
ISSN号	1674-3393
通讯作者	lu wei (e-mail: reedwhu@gmail.com)
中文摘要	purpose: in this paper, we attempt to use query refinements to identify users’ search intents and seek a method for intent clustering based on real world query data. design/methodology/approach: an experiment has been conducted to analyze selected search sessions from the american online (aol) query logs with a two-stage approach. the first stage is to identify underlying intent by combining query co-occurrence information with query expression similarity. the work in the second stage is to cluster identified results by constructing query vectors through performing random walks on a markov graph. findings: average correctness for identifying search intent is 0.74. precision, recall, f-score values for intent clustering are 0.73, 0.72 and 0.71, respectively. the results indicate that combining session co-occurrence information and query expression similarity can further filter noises and our clustering method is more suitable for sparse data. research limitations: we use the time-out threshold (15-minute) method to group queries in one session, but a user may have multiple search goals at the same time and the multi-task behavior of a user is hard to capture in a session defined based on time notions. practical implications: this study provides insights into the ways of understanding users’ search intents by analyzing their queries and refinements from a new perspective. the results will help search engine developers to identify user intents. originality/value: we propose a new method to identify users’ search intents by combining session co-occurrence information and query expression similarity, and a new method for clustering sparse data.
英文摘要	purpose: in this paper, we attempt to use query refinements to identify users’ search intents and seek a method for intent clustering based on real world query data. design/methodology/approach: an experiment has been conducted to analyze selected search sessions from the american online (aol) query logs with a two-stage approach. the first stage is to identify underlying intent by combining query co-occurrence information with query expression similarity. the work in the second stage is to cluster identified results by constructing query vectors through performing random walks on a markov graph. findings: average correctness for identifying search intent is 0.74. precision, recall, f-score values for intent clustering are 0.73, 0.72 and 0.71, respectively. the results indicate that combining session co-occurrence information and query expression similarity can further filter noises and our clustering method is more suitable for sparse data. research limitations: we use the time-out threshold (15-minute) method to group queries in one session, but a user may have multiple search goals at the same time and the multi-task behavior of a user is hard to capture in a session defined based on time notions. practical implications: this study provides insights into the ways of understanding users’ search intents by analyzing their queries and refinements from a new perspective. the results will help search engine developers to identify user intents. originality/value: we propose a new method to identify users’ search intents by combining session co-occurrence information and query expression similarity, and a new method for clustering sparse data.
学科主题	编辑出版
资助信息	this work is jointly supported by the national natural science foundation of china (grant no.: 71173164) and the national key technology r&d program of the ministry of science and technology of china (grant no.: 2012bah33f03).
原文出处	http://www.chinalibraries.net
公开日期	2014-01-04
内容类型	期刊论文
源URL	[http://ir.las.ac.cn/handle/12502/6638]
专题	文献情报中心_Journal of Data and Information Science_Chinese Journal of Library and Information Science-2013
推荐引用方式 GB/T 7714	ZHANG Xiaojuan,LU Wei. Identifying user intent through query refinements[J]. chinese journal of library and information science,2013,6(3):1-14.
APA	ZHANG Xiaojuan,&LU Wei.(2013).Identifying user intent through query refinements.chinese journal of library and information science,6(3),1-14.
MLA	ZHANG Xiaojuan,et al."Identifying user intent through query refinements".chinese journal of library and information science 6.3(2013):1-14.