Accession Number:

ADA512726

Title:

Combining Candidate and Document Models for Expert Search

Descriptive Note:

Conference paper

Corporate Author:

AMSTERDAM UNIV (NETHERLANDS)

Personal Author(s):

Report Date:

2008-11-01

Pagination or Media Count:

5.0

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.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE