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
Source PublicationINFORMATION RETRIEVAL TECHNOLOLGY, PROCEEDINGS
2006
Volume4182Pages:26-42
SubtypeArticle
AbstractThis 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 HeadingsScience & Technology ; Technology
WOS KeywordPERFORMANCE
Indexed ByISTP ; SCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000241690200003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9219
Collection09年以前成果
Affiliation1.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
Recommended Citation
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.
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