Query ranking model for search engine query recommendation

doi:10.1007/s13042-015-0362-5

	Query ranking model for search engine query recommendation
	Wang, JianGuo 1,2; Huang, Joshua Zhexue 3; Guo, Jiafeng 4; Lan, Yanyan 4
	2017-06-01
发表期刊	INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
ISSN	1868-8071
卷号	8 期号:3 页码:1019-1038
摘要	In this paper, we propose a query ranking model to select and order queries for search engine query recommendations. In contrast to existing similarity-based query recommendation methods (Agglomerative clustering of a search engine query log, 2000; The query-flow graph: model and applications, 2008], this model is based on utility, and ranks a query based on the joint probability of events whereby a query is selected by the user, the search results of the query are selected by the user, and the chosen search results satisfy the user's information needs. We thus define three utilities in our model: a query-level utility representing the attractiveness of a query to the user, a perceived utility measuring the user's actions given the search results, and a posterior utility measuring the user's satisfaction with the chosen search results. We propose methods to compute these three utilities from query log data. In experiments involving real query log data, our proposed query ranking model outperformed seven other baseline methods in generating useful recommendations.
关键词	Query recommendation Query log analysis Query ranking Recommendation methods
DOI	10.1007/s13042-015-0362-5
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61473194]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000401443500023
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7196
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Joshua Zhexue
作者单位	1.Chinese Acad Sci, Shenzhen Univ Town, Shenzhen Inst Adv Technol, Shenzhen Key Lab High Performance Data Min, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China 2.Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen, Peoples R China 3.Shenzhen Univ, Coll Comp Sci & Software Engn, 3688 Nanhai Ave, Shenzhen 518060, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, 6 Kexueyuan South Rd, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, JianGuo,Huang, Joshua Zhexue,Guo, Jiafeng,et al. Query ranking model for search engine query recommendation[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2017,8(3):1019-1038.
APA	Wang, JianGuo,Huang, Joshua Zhexue,Guo, Jiafeng,&Lan, Yanyan.(2017).Query ranking model for search engine query recommendation.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,8(3),1019-1038.
MLA	Wang, JianGuo,et al."Query ranking model for search engine query recommendation".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 8.3(2017):1019-1038.