会议论文

Tan, Xing

英文

ICTIR'17: PROCEEDINGS OF THE 2017 ACM SIGIR INTERNATIONAL CONFERENCE THEORY OF INFORMATION RETRIEVAL

2017

309-312

7th ACM SIGIR International Conference Theory of Information Retrieval (ICTIR)

OCT 01-04, 2017

Amsterdam, NETHERLANDS

[Tan, Xing] Cent China Normal Univ, Sch Comp Sci, Informat Retrieval & Knowledge Management Res Lab, Wuhan, Hubei, Peoples R China.^York Univ, Sch Informat Technol, Toronto, ON, Canada.

Assoc Comp Machinery, Assoc Comp Machinery Special Interest Grp Informat Retrieval

1515 BROADWAY, NEW YORK, NY 10036-9998 USA

ASSOC COMPUTING MACHINERY

978-1-4503-4490-6

10.1145/3121050.3121103

Natural Sciences and Engineering Research Council of Canada (NSERC)Natural Sciences and Engineering Research Council of Canada (NSERC); NSERC CREATE award in ADERSIM; ORF-RE (Ontario Research Fund - Research Excellence) award in BRAIN Alliance

本校为第一且通讯机构

Theoretical soundness and technical feasibility of treating the problem of document ranking in IR as an inference problem in Bayesian Networks, was studied recently. A pilot framework was also proposed there. In this paper, we provide two implementations of the framework: BNBM25, the one based on BM25, and BNMATF, which is based on MATF, a recently proposed innovative ranking function. We empirically verify the effectiveness of these two implementations on several standard test collections. Positive, significant results are obtained. Potentials of this BN-based framework in addition to its ver...