Adapting document ranking to users' preferences using click-through data

CASIA OpenIR > 09年以前成果

	Adapting document ranking to users' preferences using click-through data
	Zhao, Min ; Li, Hang ; Ratnaparkhi, Adwait ; Hon, Hsiao-Wuen ; Wang, Jue ; Ng, HT ; Leong, MK ; Kan, MY ; Ji, D
发表期刊	INFORMATION RETRIEVAL TECHNOLOLGY, PROCEEDINGS
	2006
卷号	4182 页码:26-42
文章类型	Article
摘要	This paper proposes a new approach to ranking the documents retrieved by a search engine using click-through data. The goal is to make the final ranked list of documents accurately represent users' preferences reflected in the click-through data. Our approach combines the ranking result of a traditional IR algorithm (BM25) with that given by a machine learning algorithm (Naive Bayes). The machine learning algorithm is trained on click-through data (queries and their associated documents), while the IR algorithm runs over the document collection. We consider several alternative strategies for combining the result of using click-through data and that of using document data. Experimental results confirm that any method of using click-through data greatly improves the preference ranking, over the method of using BM25 alone. We found that a linear combination of scores of Naive Bayes and scores of BM25 performs the best for the task. At the same time, we found that the preference ranking methods can preserve relevance ranking, i.e., the preference ranking methods can perform as well as BM25 for relevance ranking.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	PERFORMANCE
收录类别	ISTP ; SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000241690200003
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9219
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 2.Microsoft Res Asia, Beijing, Peoples R China 3.Microsoft Corp, Redmond, WA 98052 USA
推荐引用方式 GB/T 7714	Zhao, Min,Li, Hang,Ratnaparkhi, Adwait,et al. Adapting document ranking to users' preferences using click-through data[J]. INFORMATION RETRIEVAL TECHNOLOLGY, PROCEEDINGS,2006,4182:26-42.
APA	Zhao, Min.,Li, Hang.,Ratnaparkhi, Adwait.,Hon, Hsiao-Wuen.,Wang, Jue.,...&Ji, D.(2006).Adapting document ranking to users' preferences using click-through data.INFORMATION RETRIEVAL TECHNOLOLGY, PROCEEDINGS,4182,26-42.
MLA	Zhao, Min,et al."Adapting document ranking to users' preferences using click-through data".INFORMATION RETRIEVAL TECHNOLOLGY, PROCEEDINGS 4182(2006):26-42.