Generative modeling of persons and documents for expert search

Authors:
Pavel Serdyukov;Djoerd Hiemstra;Maarten Fokkinga;Peter M. G. Apers
Affiliations:
University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands;University of Twente, Enschede, Netherlands
Venue:
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2007

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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.