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• W2953051570 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." @default.
• W2953051570 created "2019-06-27" @default.
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• W2953051570 date "2013-02-02" @default.
• W2953051570 modified "2023-09-27" @default.
• W2953051570 title "Learning to Rank for Expert Search in Digital Libraries of Academic Publications" @default.
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• W2953051570 hasPublicationYear "2013" @default.
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