Generative modeling of persons and documents for expert search

Abstract

In this paper we address the task of automatically finding an expert within the organization, known as the expert search problem. We present the theoretically-based probabilistic algorithm which models retrieved documents as mixtures of expert candidate language models. Experiments show that our approach outperforms existing theoretically sound solutions. 
DOI: 10.1145/1277741.1277929

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