Title :
Related paper recommendation to support online-browsing of research papers
Author :
Ohta, Manabu ; Hachiki, Toshihiro ; Takasu, Atsuhiro
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
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.
Keywords :
graph theory; interactive programming; online front-ends; recommender systems; HITS algorithm; bipartite graph; online browsing; paper recommendation; research papers; technical terms; Bipartite graph; Equations; Feature extraction; Joining processes; Mathematical model; Optical character recognition software; Prototypes; HITS; browsing support; research paper recommendation; technical term extraction;
Conference_Titel :
Applications of Digital Information and Web Technologies (ICADIWT), 2011 Fourth International Conference on the
Conference_Location :
Stevens Point, WI
Print_ISBN :
978-1-4244-9824-6
DOI :
10.1109/ICADIWT.2011.6041413
