Generative modeling of persons and documents for expert search
Pavel Serdyukov, Djoerd Hiemstra, Maarten M. Fokkinga, Peter M. G. Apers · 2007
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.