Title: CAFE: Collaboration Aimed at Finding Experts

Authors: Neil Rubens, Mikko Vilenius, Toshio Okamoto, Dain Kaplan

Addresses: Graduate School of Information Systems, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan. ' Graduate School of Information Systems, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan. ' Graduate School of Information Systems, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan. ' Department of Computer Science, Tokyo Institute of Technology, 2-12-1 Oookayama, Meguro-ku, Tokyo 152-8552, Japan

Abstract: Research-oriented tasks continue to become more complex, requiring more collaboration between experts. Historically, research has focused on either finding a single expert for a specific task Expertise Finding (EF), or trying to form a group that satisfies various conditions Group Formation (GF). EF is typically group context agnostic, while GF requires complex models that are difficult to automate. This paper focuses on the union of these two, forming groups of experts. We concentrate in this paper on the expertise aspect of GF, since without the needed expertise, regardless of other factors, the task cannot be accomplished.

Keywords: automatic group formation; expertise finding; CSCL; computer supported collaborative learning; informal learning; data mining; machine learning; link analysis; expert collaboration; groups of experts.

DOI: 10.1504/IJKWI.2010.034186

International Journal of Knowledge and Web Intelligence, 2010 Vol.1 No.3/4, pp.169 - 186

Available online: 17 Jul 2010 *

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