The University of Amsterdam at the TREC 2007 Enterprise Track

We describe our participation in the TREC 2007 Enterprise track and detail our lan- guage 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 docu- ments 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 differ- ence in average precision but observe small overall positive effects of the advanced models, with large differences between individual topics.

[1]  M. de Rijke,et al.  The effectiveness of combining information retrieval strategies for European languages , 2004, SAC '04.

[2]  Maarten de Rijke,et al.  Language Modeling Approaches for Enterprise Tasks , 2005, TREC.

[3]  Elad Yom-Tov,et al.  What makes a query difficult? , 2006, SIGIR.

[4]  Edward A. Fox,et al.  Combination of Multiple Searches , 1993, TREC.

[5]  Jay Ponte,et al.  LANGUAGE MODELS FOR RELEVANCE FEEDBACK , 2002 .

[6]  M. de Rijke,et al.  Formal models for expert finding in enterprise corpora , 2006, SIGIR.

[7]  Tat-Seng Chua,et al.  Mining dependency relations for query expansion in passage retrieval , 2006, SIGIR.

[8]  Nicholas J. Belkin,et al.  Relevance Feedback versus Local Context Analysis as Term Suggestion Devices: Rutgers' TREC-8 Interactive Track Experience , 1999, TREC.

[9]  W. Bruce Croft,et al.  Relevance-Based Language Models , 2001, SIGIR '01.

[10]  John D. Lafferty,et al.  A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.

[11]  Nick Craswell,et al.  Overview of the TREC 2006 Enterprise Track , 2006, TREC.

[12]  M. de Rijke,et al.  Determining Expert Profiles (With an Application to Expert Finding) , 2007, IJCAI.

[13]  Gerard Salton,et al.  Research and Development in Information Retrieval , 1982, Lecture Notes in Computer Science.

[14]  David Hawking,et al.  Overview of the TREC 2004 Web Track , 2004, TREC.

[15]  Maarten de Rijke,et al.  Language Models for Enterprise Search: Query Expansion and Combination of Evidence , 2006, TREC.

[16]  Nick Craswell,et al.  Overview of the TREC 2005 Enterprise Track , 2005, TREC.

[17]  W. Bruce Croft,et al.  Improving the effectiveness of information retrieval with local context analysis , 2000, TOIS.