Modeling Expert Finding as an Absorbing Random Walk

Pavel Serdyukov, H. Rode, Djoerd Hiemstra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)
62 Downloads (Pure)

Abstract

We introduce a novel approach to expert nding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an ab- sorbing random walk. The evaluation on the two ocial Enterprise TREC data sets demonstrates the advantage of our method over the state-of-the-art method based on one- step propagation.
Original languageUndefined
Title of host publicationProceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages797-798
Number of pages2
ISBN (Print)978-1-60558-164-4
DOIs
Publication statusPublished - 20 Jul 2008
Event31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008 - Singapore, Singapore
Duration: 20 Jul 200825 Jul 2008
Conference number: 31

Publication series

Name
PublisherACM
Number1

Conference

Conference31st Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008
Abbreviated titleSIGIR
CountrySingapore
CitySingapore
Period20/07/0825/07/08

Keywords

  • EWI-12309
  • METIS-250963
  • IR-62256
  • DB-IR: INFORMATION RETRIEVAL

Cite this

Serdyukov, P., Rode, H., & Hiemstra, D. (2008). Modeling Expert Finding as an Absorbing Random Walk. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 797-798). [10.1145/1390334.1390509] New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/1390334.1390509