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10422 Generative Modeling of Persons and Documents for Expert Search

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Serdyukov, P. and Hiemstra, D. and Fokkinga, M.M. and Apers, P.M.G. (2007) Generative Modeling of Persons and Documents for Expert Search. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2007), 23-27 Jul 2007, Amsterdam, Netherlands. pp. 827-828. ACM Press. ISBN 978-1-59593-597-7

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Official URL: http://doi.acm.org/10.1145/1277741.1277929

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.

Item Type:	Conference or Workshop Paper (Extended Abstract, Poster)
Research Group:	EWI-DB: Databases
Research Program:	CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:	CADMAI: Towards Context-Aware Data Management for Ambient Intelligence
ID Code:	10422
Deposited By:	P. Serdyukov
Deposited On:	05 July 2007
Refereed:	Yes
International:	Yes
More Information:	statistics metis

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