Modeling Documents as Mixtures of Persons for Expert Finding


Serdyukov, P. and Hiemstra, D. (2008) Modeling Documents as Mixtures of Persons for Expert Finding. In: Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008), 31 Mar - 4 Apr 2008, Glasgow, UK (pp. pp. 309-320).

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Abstract:In this paper we address the problem of searching for knowledgeable
persons within the enterprise, known as the expert finding (or
expert search) task. We present a probabilistic algorithm using the assumption
that terms in documents are produced by people who are mentioned
in them.We represent documents retrieved to a query as mixtures
of candidate experts language models. Two methods of personal language
models extraction are proposed, as well as the way of combining
them with other evidences of expertise. Experiments conducted with the
TREC Enterprise collection demonstrate the superiority of our approach
in comparison with the best one among existing solutions.
Item Type:Conference or Workshop Item
Additional information:Best student paper award
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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