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Abstract

In this paper, a modified TF-IDF approach is proposed to recommend experts by inferring search query topics using metadata. A multi-disciplinary reputation metric is also introduced to select people with specific expertise. The approach is validated on Mendeley corpus using a prototypal expert mining platform, Magnifico. The user interface of the platform is also discussed.

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