Modeling Documents as Mixtures of Persons for Expert Finding

Pavel Serdyukov, Djoerd Hiemstra

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67 Downloads (Pure)

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.
Original languageUndefined
Title of host publicationProceedings of the 30th European Conference on Information Retrieval (ECIR 2008)
Place of PublicationLondon
PublisherSpringer
Pages309-320
Number of pages12
ISBN (Print)978-3-540-78645-0
DOIs
Publication statusPublished - 27 Mar 2008
Event30th European Conference on Information Retrieval, ECIR 2008: (IR Resarch) - Glasgow, United Kingdom
Duration: 31 Mar 20084 Apr 2008
Conference number: 30

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Number1
Volume4956

Conference

Conference30th European Conference on Information Retrieval, ECIR 2008
Abbreviated titleECIR
CountryUnited Kingdom
CityGlasgow
Period31/03/084/04/08

Keywords

  • DB-IR: INFORMATION RETRIEVAL
  • IR-64731
  • METIS-250964
  • EWI-12311

Cite this

Serdyukov, P., & Hiemstra, D. (2008). Modeling Documents as Mixtures of Persons for Expert Finding. In Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008) (pp. 309-320). [10.1007/978-3-540-78646-7_29] (Lecture Notes in Computer Science; Vol. 4956, No. 1). London: Springer. https://doi.org/10.1007/978-3-540-78646-7_29