A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback

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成果类型：

期刊论文

作者：

Pan, Min;Huang, Jimmy Xiangji*;He, Tingting（何婷婷）;Mao, Zhiming;Ying, Zhiwei;...

通讯作者：

Huang, Jimmy Xiangji

作者机构：

[Pan, Min] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Informat Retrieval & Knowledge Management Res Lab, Wuhan, Peoples R China.

[Pan, Min; Mao, Zhiming] Hubei Normal Univ, Sch Comp & Informat Engn, Huangshi, Hubei, Peoples R China.

[Huang, Jimmy Xiangji; Pan, Min; Ying, Zhiwei] York Univ, Sch Informat Technol, Informat Retrieval & Knowledge Management Res Lab, Toronto, ON, Canada.

[He, Tingting; Tu, Xinhui; Mao, Zhiming] Cent China Normal Univ, Sch Comp, Informat Retrieval & Knowledge Management Res Lab, Wuhan, Peoples R China.

[Ying, Zhiwei] Cent China Normal Univ, Sch Informat Management, Informat Retrieval & Knowledge Management Res Lab, Wuhan, Peoples R China.

通讯机构：

[Huang, Jimmy Xiangji] Y

York Univ, Sch Informat Technol, Informat Retrieval & Knowledge Management Res Lab, Toronto, ON, Canada.

语种：

英文

期刊：

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY

ISSN：

2330-1635

年：

2020

卷：

期：

页码：

264-281

DOI：

10.1002/asi.24241

基金类别：

Natural Sciences and Engineering Research Council (NSERC) of Canada, an NSERC CREATE award in ADERSIMNatural Sciences and Engineering Research Council of Canada (NSERC); York Research Chairs (YRC) program; Ontario Research Fund-Research Excellence (ORF-RE) award in BRAIN Alliance; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61572223, 61532008]

机构署名：

本校为第一机构

院系归属：

计算机学院

信息管理学院

国家数字化学习工程技术研究中心

摘要：

Pseudo-relevance feedback is a well-studied query expansion technique in which it is assumed that the top-ranked documents in an initial set of retrieval results are relevant and expansion terms are then extracted from those documents. When selecting expansion terms, most traditional models do not simultaneously consider term frequency and the co-occurrence relationships between candidate terms and query terms. Intuitively, however, a term that has a higher co-occurrence with a query term is more likely to be related to the query topic. In this article, we propose a kernel co-occurrence-based ...

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A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback

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