会议论文

Tu, Xinhui

英文

SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

2016

837-840

39th International ACM SIGIR conference on Research and Development in Information Retrieval

JUL 17-21, 2016

Pisa, ITALY

[Tu, Xinhui;Huang, Jimmy Xiangji;He, Tingting] Cent China Normal Univ, Sch Comp Sci, Wuhan, Hubei, Peoples R China.^[Huang, Jimmy Xiangji] York Univ, Sch Informat Technol, Toronto, ON, Canada.^[Luo, Jing] Wuhan Univ Sci & Technol, Sch Comp Sci, Wuhan, Hubei, Peoples R China.

ACM SIGIR

1515 BROADWAY, NEW YORK, NY 10036-9998 USA

ASSOC COMPUTING MACHINERY

978-1-4503-4069-4

10.1145/2911451.2914691

National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61572223]; Natural Sciences & Engineering Research Council (NSERC) of CanadaNatural Sciences and Engineering Research Council of Canada (NSERC); NSERC CREATE award

本校为第一且通讯机构

Most of the existing information retrieval models assume that the terms of a text document are independent of each other. These retrieval models integrate three major variables to determine the degree of importance of a term for a document: within document term frequency, document length and the specificity of the term in the collection. Intuitively, the importance of a term for a document is not only dependent on the three aspects mentioned above, but also dependent on the degree of semantic coherence between the term and the document. In this paper, we propose a heuristic approach, in which ...