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arXiv · 1302.0413

Learning to Rank for Expert Search in Digital Libraries of Academic Publications

Catarina Moreira·Pável Calado·Bruno Martins
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Abstract

The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approaches for combining different sources of evidence in an optimal way. This paper explores the usage of learning to rank methods as a principled approach for combining multiple estimators of expertise, derived from the textual contents, from the graph-structure with the citation patterns for the community of experts, and from profile information about the experts. Experiments made over a dataset of academic publications, for the area of Computer Science, attest for the adequacy of the proposed approaches.

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Catarina Moreira, Pável Calado, Bruno Martins. 2013-02-02. Learning to Rank for Expert Search in Digital Libraries of Academic Publications. https://arxiv.org/abs/1302.0413

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