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

Author:

Pan Min123,Huang Jimmy Xiangji3,He Tingting4,Mao Zhiming24,Ying Zhiwei35,Tu Xinhui4

Affiliation:

1. Information Retrieval and Knowledge Management Research LabNational Engineering Research Center for E‐Learning, Central China Normal University Wuhan China

2. School of Computer and Information EngineeringHubei Normal University Huangshi China

3. Information Retrieval and Knowledge Management Research LabSchool of Information Technology, York University Toronto ON Canada

4. Information Retrieval and Knowledge Management Research LabSchool of Computer, Central China Normal University Wuhan China

5. Information Retrieval and Knowledge Management Research LabSchool of Information Management, Central China Normal University Wuhan China

Funder

National Natural Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference58 articles.

1. Allan J. Connell M.E. Croft W.B. Feng F.‐F. Fisher D. &Li X.(2000).Inquery and TREC‐9. Technical report Massachusetts Univ Amherst Center For Intelligent Information Retrieval.

2. Bai J. Song D. Bruza P. Nie P.Y. &Cao G.(2005).Query expansion using term relationships in language models for information retrieval. In ACM International Conference on Information and Knowledge Management (pp. 688–695).

3. Basile P. Caputo A. &Semeraro G.(2011). Negation for document re‐ranking in ad‐hoc retrieval. In ICTIR’11 (pp. 285–296).

4. Beaulieu M.H. Gatford M. Huang M. Robertson S.E. Walker S. &Williams P.W.(1996). Okapi at TREC‐5. In Proceedings of the Fifth Text REtrieval Conference TREC 1996.

5. Büttcher S. Clarke C.L. &Lushman B.(2006). Term proximity scoring for ad‐hoc retrieval on very large text collections. In SIGIR’06 pp. 621–622.

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