中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Query Performance Prediction for Information Retrieval Based on Covering Topic Score

文献类型:期刊论文

作者Fan Ding(丁 凡); Hao Lang(郎 皓); Bin Wang(王 斌); Gareth Jones; Jin-Tao Li(李锦涛); Yi-Xuan Liu(刘宜轩)
刊名Journal of Computer Science and Technology
出版日期2008
卷号23期号:4页码:590-601
关键词Information Storage And Retrieval Information Search And Retrieval Query Performance Prediction Covering Topic Score
英文摘要We present a statistical method called Covering Topic Score (CTS) to predict query performance for information retrieval. Estimation is based on how well the topic of a user's query is covered by documents retrieved from a certain retrieval system. Our approach is conceptually simple and intuitive, and can be easily extended to incorporate features beyond bag-of-words such as phrases and proximity of terms. Experiments demonstrate that CTS significantly correlates with query performance in a variety of TREC test collections, and in particular CTS gains more prediction power benefiting from features of phrases and proximity of terms. We compare CTS with previous state-of-the-art methods for query performance prediction including clarity score and robustness score. Our experimental results show that CTS consistently performs better than, or at least as well as, these other methods. In addition to its high effectiveness, CTS is also shown to have very low computational complexity, meaning that it can be practical for real applications.
语种中文
公开日期2010-11-02
源URL[http://ictir.ict.ac.cn/handle/311040/815]  
专题中国科学院计算技术研究所期刊论文_2008年英文
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GB/T 7714
Fan Ding,Hao Lang,Bin Wang,et al. Query Performance Prediction for Information Retrieval Based on Covering Topic Score[J]. Journal of Computer Science and Technology,2008,23(4):590-601.
APA Fan Ding,Hao Lang,Bin Wang,Gareth Jones,Jin-Tao Li,&Yi-Xuan Liu.(2008).Query Performance Prediction for Information Retrieval Based on Covering Topic Score.Journal of Computer Science and Technology,23(4),590-601.
MLA Fan Ding,et al."Query Performance Prediction for Information Retrieval Based on Covering Topic Score".Journal of Computer Science and Technology 23.4(2008):590-601.

入库方式: OAI收割

来源:计算技术研究所

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