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Conference Paper Recommendation for Academic Conferences

Li, Shuchen and Brusilovsky, Peter and Su, Sen and Cheng, Xiang (2018) Conference Paper Recommendation for Academic Conferences. IEEE Access, 6. pp. 17153-17164. ISSN 2169-3536

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With the rapid growth of scientific publications, research paper recommendation which suggests relevant research papers to users can bring great benefits to researchers. In this paper, we focus on the problem of recommending conference papers to the conference attendees. While most of the related existing methods depend on the content-based filtering, we propose a unified conference paper recommendation method named CPRec , which exploits both the contents and the authorship information of the papers. In particular, besides the contents, we exploit the relationships between a user and the authors of a paper for recommendation. In our method, we extract several features for a user-paper pair from the citation network, the coauthor network, and the contents, respectively. In addition, we derive a user’s pairwise preference towards the conference papers from the user’s bookmarked papers in each conference. Furthermore, we employ a pairwise learning to rank model which exploits the pairwise user preference to learn a function that predicts a user’s preference towards a paper based on the extracted features. We conduct a recommendation performance evaluation using real-world data and the experimental results demonstrate the effectiveness of our proposed method.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Li, Shuchen0000-0003-2818-2056
Brusilovsky, Peterpeterb@pitt.edupeterb0000-0002-1902-1464
Su, Sen
Cheng, Xiang
Date: 20 March 2018
Date Type: Publication
Journal or Publication Title: IEEE Access
Volume: 6
Page Range: pp. 17153-17164
DOI or Unique Handle: 10.1109/access.2018.2817497
Schools and Programs: School of Computing and Information > Information Science
Refereed: Yes
ISSN: 2169-3536
Official URL:
Article Type: Research Article
Date Deposited: 12 Dec 2018 19:01
Last Modified: 12 Dec 2018 19:01


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