Knowledge Commons of Institute of Automation,CAS
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
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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 | |
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. |
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