Effective distributed representations for academic expert search

@inproceedings{Berger2020EffectiveDR,
  title={Effective distributed representations for academic expert search},
  author={Mark J. Berger and Jakub Zavrel and Paul Groth},
  booktitle={SDP},
  year={2020}
}
Expert search aims to find and rank experts based on a user’s query. In academia, retrieving experts is an efficient way to navigate through a large amount of academic knowledge. Here, we study how different distributed representations of academic papers (i.e. embeddings) impact academic expert retrieval. We use the Microsoft Academic Graph dataset and experiment with different configurations of a document-centric voting model for retrieval. In particular, we explore the impact of the use of… Expand

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Review of: "Effective distributed representations for academic expert search"
Possible applications Even if this work is entirely on the embeddings-based algorithms for expert finding, the expert finding activity per se has several applications in the scholarly domain all withExpand
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