ORIGINAL ARTICLE
A social recommendation system for academic collaboration in undergraduate research
Yang Liu,
Chen Yang,
Jian Ma,
Wei Xu,
Zhongsheng Hua,
Corresponding Author
Yang Liu
School of Management, University of Science and Technology of China, Hefei, China
Department of Information Systems, City University of Hong Kong, Hong Kong, China
Correspondence
Yang Liu, School of Management, University of Science and Technology of China, Hefei, China.
Email: [email protected]
Search for more papers by this authorChen Yang
College of Management, Shenzhen University, Shenzhen, China
Search for more papers by this authorJian Ma
Department of Information Systems, City University of Hong Kong, Hong Kong, China
Search for more papers by this authorWei Xu
School of Information, Renmin University of China, Beijing, China
Search for more papers by this authorZhongsheng Hua
School of Management, Zhejiang University, Hangzhou, China
Search for more papers by this authorYang Liu,
Chen Yang,
Jian Ma,
Wei Xu,
Zhongsheng Hua,
Corresponding Author
Yang Liu
School of Management, University of Science and Technology of China, Hefei, China
Department of Information Systems, City University of Hong Kong, Hong Kong, China
Correspondence
Yang Liu, School of Management, University of Science and Technology of China, Hefei, China.
Email: [email protected]
Search for more papers by this authorChen Yang
College of Management, Shenzhen University, Shenzhen, China
Search for more papers by this authorJian Ma
Department of Information Systems, City University of Hong Kong, Hong Kong, China
Search for more papers by this authorWei Xu
School of Information, Renmin University of China, Beijing, China
Search for more papers by this authorZhongsheng Hua
School of Management, Zhejiang University, Hangzhou, China
Search for more papers by this authorAbstract
Academic collaboration plays an important role in undergraduate research. Current methods rely on offline social contacts for undergraduate students to collaborate with academic staff members in universities and research institutions. In big data era, it is difficult for undergraduate students to find suitable research project opportunities and supervisors to work with. This paper proposes a social recommendation system for undergraduate students to find research project opportunities and work with research project teams on an academic collaboration network. The proposed recommendation method integrates relevance, connectivity, and quality modules, where profiles of undergraduates are constructed with their self-claimed information, research activities (e.g., studying and reading research publications and reading research projects), and social connections in the academic collaboration network. Suitable research projects are recommended based on the undergraduates' profiles. Experiments are conducted, and the results have shown that the proposed social recommendation system can facilitate undergraduates' selection of research projects.
CONFLICT OF INTEREST
We have no conflict of interest to disclose.
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