Query and Document Models for Enterprise Search

: We describe our participation in the TREC 2007 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on estimating a mixture model using a standard web collection, and on constructing query models by employing blind relevance feedback and using the example documents provided with the topics. We found that settings performing well on a web collection do not carry over to the CSIRO collection, but the use of advanced query models resulted in significant improvements. In expert search, our experiments concerned document representation, identification of candidate experts, and combinations of expert search strategies. We find no significant difference in average precision but observe small overall positive effects of the advanced models, with large differences between individual topics.

• Type: Conference
• Year: 2007
• Where: TREC
• Authors: Krisztian Balog, Katja Hofmann, Wouter Weerkamp, Maarten de Rijke
• Keywords: Query Models, TREC 2007, Trec 2007 Enterprise, TREC 2008, Web Collection