Combining Candidate and Document Models for Expert Search
Krisztian Balog, Maarten de Rijke · UvA-DARE (University of Amsterdam) · 2008
Abstract: We describe our participation in the TREC 2008 Enterprise track and detail our lan-guage modeling-based approaches. For document search, our focus was on query expansion us-ing profiles of top ranked experts and on docu-ment 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 com-bined models significantly and consistently out-performed our very competitive baseline models. 1