Combining Candidate and Document Models for Expert Search

Abstract

We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using profiles of top ranked experts and on document priors. We found that these techniques result in small, but noticeable improvements over our baseline method. For expert search, we combine candidate- and document-based models, and also bring in web evidence. We found that the combined models significantly and consistently out-performed our very competitive baseline models.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA512726

Entities

People

  • Krisztian Balog
  • Maarten De Rijke

Organizations

  • University of Amsterdam

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Base Lines
  • Equations
  • Feedback
  • Governments
  • Information Operations
  • Instructions
  • Language
  • Netherlands
  • Personality
  • Probability
  • Sampling
  • Scientific Research
  • Specifications
  • Standards
  • Universities

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Information Retrieval
  • Organizational Process Management (OPM).