Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings

arXiv: Information Retrieval, Volume abs/1803.03370, 2018.

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Abstract:

Expert finding is an important task in both industry and academia. It is challenging to rank candidates with appropriate expertise for various queries. In addition, different types of objects interact with one another, which naturally forms heterogeneous information networks. We study the task of expert finding in heterogeneous bibliograp...More

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