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Sun J, Jiang Y, Cheng X, Du W, Liu Y, Ma J. A hybrid approach for article recommendation in research social networks. J Inf Sci 2017. [DOI: 10.1177/0165551517728449] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
With the prevalence of research social networks, determining effective methods for recommending scientific articles to online scholars has become a challenging and complex task. Current studies on article recommendation works are focused on digital libraries and reference sharing websites while studies on research social networking websites have seldom been conducted. Existing content-based approaches or collaborative filtering approaches suffer from the problem of data sparsity. The quality information of articles has been largely ignored in previous studies, thus raising the need for a unified recommendation framework. We propose a hybrid approach to combine relevance, connectivity and quality to recommend scientific articles. The effectiveness of the proposed framework and methods is verified using a user study on a real research social network website. The results demonstrate that our proposed methods outperform baseline methods.
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Affiliation(s)
- Jianshan Sun
- School of Management, Hefei University of Technology, China
| | - Yuanchun Jiang
- School of Management, Hefei University of Technology, China
| | - Xusen Cheng
- School of Information Technology and Management, University of International Business and Economics, China
| | - Wei Du
- Department of Information Systems, City University of Hong Kong, Hong Kong
| | - Yezheng Liu
- School of Management, Hefei University of Technology, Hefei, China
| | - Jian Ma
- Department of Information Systems, City University of Hong Kong, Hong Kong
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Establishing interoperability among knowledge organization systems for research management: a social network approach. Scientometrics 2017. [DOI: 10.1007/s11192-017-2457-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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