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Recommending Future Collaborators using Social Features and MeSH terms

Lee, Danielle and Brusilovsky, Peter and Schleyer, Titus (2011) Recommending Future Collaborators using Social Features and MeSH terms. In: Proceedings of the 74th Annual Meeting of the American Society for Information Science and Technology, October 9-13, 2011, New Orleans, Louisiana, USA. (In Press)

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Unlike expert location systems which respond to users’ specific information needs, expert recommender systems attempt to find future collaborators without regard to any specific problem, to introduce interesting people reciprocally and to assist users to start new social interactions. An interesting research question is whether the need to find potential collaborators should cause expert recommender systems to pay attention to users’ social context. One may argue that scientists may want to collaborate with people only in their social loop, because they feel burden to contact other scientists and ask them to work with, without any social connection, in spite of their quite relevant expertise. However, it is also plausible that they might prefer to collaborate with a highly acknowledged expert or topically relevant person, even if he or she is outside of their social network. In this paper, we explored this question. We considered users’ research interests inferred by their publication metadata and users’ professional social networks derived from their co-authorship history as two alternative sources to recommend future collaborators. We tested the quality of various recommendations from metadata-based approaches and social network-based approaches to hybrid recommendations. Our results show that we need to consider both users’ expertise and social networks but in sometimes, social networks are more important than their expertise.


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Item Type: Conference or Workshop Item (Paper)
Status: In Press
CreatorsEmailPitt UsernameORCID
Lee, Daniellehyl12@pitt.eduHYL12
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Schleyer, Titustitus@pitt.eduTITUS
Date: October 2011
Date Type: Publication
Event Title: Proceedings of the 74th Annual Meeting of the American Society for Information Science and Technology
Event Dates: October 9-13, 2011
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Related URLs:
Date Deposited: 06 Jul 2011 19:29
Last Modified: 02 Aug 2022 17:45


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