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

@article{Moreira2011LearningTR,
  title={Learning to Rank for Expert Search in Digital Libraries of Academic Publications},
  author={Catarina Moreira and P{\'a}vel Pereira Calado and Bruno Martins},
  journal={ArXiv},
  year={2011},
  volume={abs/1302.0413}
}
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… 
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Learning to rank experts using combination of multiple features of expertise
  • V. Kavitha, G. Manju, T. V. Geetha
  • Computer Science
    2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
  • 2014
TLDR
Experiments made over a dataset of academic publications in the area of Computer Science using combination of new features of expertise provide better ranked list of experts than using individual features.
Expert finding by the Dempster-Shafer theory for evidence combination
The expertise of human experts can be formally extracted from their written documents, research projects, and everyday activities. The process whereby experts are recognized according to their
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