Related paper recommendation to support online-browsing of research papers

Manabu Ohta, Toshihiro Hachiki, Atsuhiro Takasu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

An online-browsing support system for research papers has been developed that extracts technical terms from a paper and presents links to useful pages such as those explaining the terms. A method to further use the extracted technical terms is proposed to recommend papers to a user that are related to the paper he or she is browsing. Specifically, the proposed method generates a bipartite graph consisting of papers retrieved by the extracted technical terms, which are called related papers, and technical terms appearing in these related papers. It then ranks the related papers using the HITS algorithm for analyzing the bipartite graph and recommends top-ranked papers to the user. The proposed method was compared with other recommendation methods in terms of effectiveness in an experiment.

Original languageEnglish
Title of host publication4th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2011
Pages130-136
Number of pages7
DOIs
Publication statusPublished - 2011
Event4th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2011 - Stevens Point, WI, United States
Duration: Aug 4 2011Aug 6 2011

Publication series

Name4th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2011

Other

Other4th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2011
Country/TerritoryUnited States
CityStevens Point, WI
Period8/4/118/6/11

Keywords

  • HITS
  • browsing support
  • research paper recommendation
  • technical term extraction

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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