EEMCS EPrints Service

Education

Research

Prospective Students

Jobs

Publications

Intranet (internal)

Nederlands

Contact

Sitemap

Organisation

10422 Generative Modeling of Persons and Documents for Expert Search

Home Policy Brochure Browse Search User Area Contact Help

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

Full text available as:

PDF

- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
148 Kb

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
Status:	Published
Deposited On:	05 July 2007
Refereed:	Yes
International:	Yes
More Information:	statistics metis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item