Field-weighted XML retrieval based on BM25

被引：0

作者：

Lu, Wei ^{[1
]}

Robertson, Stephen

MacFarlane, Andrew

机构：

[1] Wuhan Univ, Sch Informat Management, Ctr Studies Informat Resources, Wuhan 430072, Peoples R China

[2] Microsoft Res, Cambridge, England

来源：

ADVANCES IN XML INFORMATION RETRIEVAL AND EVALUATION | 2006年 / 3977卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This is the first year for the Centre for Interactive Systems Research participation of INEX. Based on a newly developed XML indexing and retrieval system on Okapi, we extend Robertson's field-weighted BM25F for document retrieval to element level retrieval function BM25E. In this paper, we introduce this new function and our experimental method in detail, and then show how we tuned weights for our selected fields by using INEX 2004 topics and assessments. Based on the tuned models we submitted our runs for CO.Thorough, CO.FetchBrowse, the methods we propose show real promise. Existing problems and future work are also discussed.

引用

页码：161 / 171

页数：11

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