skip to main content
10.1145/1390334.1390509acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
poster

Modeling expert finding as an absorbing random walk

Published: 20 July 2008 Publication History

Abstract

We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing random walk. The evaluation on the two official Enterprise TREC data sets demonstrates the advantage of our method over the state-of-the-art method based on one-step propagation.

References

[1]
K. Balog, T. Bogers, L. Azzopardi, M. de Rijke, and A. van den Bosch. Broad expertise retrieval in sparse data environments. In SIGIR'07, pages 551--558, 2007.
[2]
K. Balog and M. de Rijke. Finding experts and their details in e-mail corpora. In WWW'06, 2006.
[3]
N. Craswell, A. de Vries, and I. Soboroff. Overview of the trec-2005 enterprise track. In Proceedings of TREC'05, 2005.
[4]
D. Hiemstra. Using Language Models for Information Retrieval. Phd thesis, University of Twente, 2001.
[5]
C. Macdonald and I. Ounis. Voting for candidates: adapting data fusion techniques for an expert search task. In CIKM'06, 2006.
[6]
M. T. Maybury. Expert finding systems. Technical Report MTR06B000040, MITRE Corporation, 2006.

Cited By

View all
  • (2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
  • (2017)A survey on recommendation system for technical paper reviewer assignment2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA.2017.8212826(329-331)Online publication date: Apr-2017
  • (2016)Video Supervoxels Using Partially Absorbing Random WalksIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.240623226:5(928-938)Online publication date: May-2016
  • Show More Cited By

Index Terms

  1. Modeling expert finding as an absorbing random walk

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
    July 2008
    934 pages
    ISBN:9781605581644
    DOI:10.1145/1390334
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 July 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. enterprise search
    2. expert finding
    3. random walks

    Qualifiers

    • Poster

    Conference

    SIGIR '08
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 792 of 3,983 submissions, 20%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 19 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
    • (2017)A survey on recommendation system for technical paper reviewer assignment2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA.2017.8212826(329-331)Online publication date: Apr-2017
    • (2016)Video Supervoxels Using Partially Absorbing Random WalksIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.240623226:5(928-938)Online publication date: May-2016
    • (2013)Robust question answering over the web of linked dataProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505677(1107-1116)Online publication date: 27-Oct-2013
    • (2013)Recommending high utility query via session-flow graphProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_54(642-655)Online publication date: 24-Mar-2013
    • (2009)Discovering calligraphy style relationships by Supervised Learning Weighted Random Walk ModelMultimedia Systems10.1007/s00530-008-0151-z15:4(221-242)Online publication date: 30-Jan-2009
    • (2008)Modeling multi-step relevance propagation for expert findingProceedings of the 17th ACM conference on Information and knowledge management10.1145/1458082.1458232(1133-1142)Online publication date: 26-Oct-2008
    • (2008)The search for expertiseProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1390334.1390568(893-893)Online publication date: 20-Jul-2008
    • (2008)The Right Expert at the Right Time and PlaceProceedings of the 7th International Conference on Practical Aspects of Knowledge Management10.1007/978-3-540-89447-6_6(38-49)Online publication date: 22-Nov-2008

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media