ABSTRACT
Nowadays it is more and more frequent that Web users search for professionals in order to find people who can help solve any problem in a given field. This is call expert finding. A particular case is when users are interested in scientific researchers. The associated problem is to get, given a query that expresses a topic of interest for a user, a set of researchers who are expert on it. One of the difficulties to tackle the problem is to indentify the topics in which a professional is expert. In this paper, we face this problem from a content-based recommendatation perspective and we present a method where, starting from the articles published by each researcher, and a query, the expert researchers are obtained. We also present a new document collection, called PMSC-UGR, specifically designed for the evaluation in the field of expert finding and document filtering
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Index Terms
Content-based recommendation for Academic Expert finding
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