CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search

In this paper, we described our method for the expert search task in TREC 2008. First, we proposed an adaption to the language modeling method for expert search, which considers the probability of query generation separate- ly using each kind of expert evidence (full name, abbreviated name, and email address). Current expert search models can be easily integrated into our method. Our experiments indicated that our method can make use of the ambiguous evi- dence in expert search (abbreviated name), which often casued a drop in effects in other methods. Besides, we also used a probabilistic measure to detect phrase in query, but it did not make better effectiveness.

[1]  Wei Lu,et al.  CSIR at TREC 2007 Expert Search Task , 2007, TREC.

[2]  Jiepu Jiang.  Expertise Retrieval Using Search Engine Results , 2008 .

[3]  W. Bruce Croft,et al.  Proximity-based document representation for named entity retrieval , 2007, CIKM '07.

[4]  Stephen E. Robertson,et al.  Window-based Enterprise Expert Search , 2006, TREC.

[5]  Maarten de Rijke,et al.  Non-local evidence for expert finding , 2008, CIKM '08.

[6]  Leif AzzopardiKrisztian.  Language Modeling Approaches for Enterprise Tasks , 2005 .

[7]  M. de Rijke,et al.  A language modeling framework for expert finding , 2009, Inf. Process. Manag..

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

[9]  Maarten de Rijke,et al.  Associating People and Documents , 2008, ECIR.

[10]  Shenghua Bao,et al.  Research on Expert Search at Enterprise Track of TREC 2006 , 2005, TREC.

[11]  M. de Rijke,et al.  Broad expertise retrieval in sparse data environments , 2007, SIGIR.

[12]  Wei Lu,et al.  IR-Based Expert Finding Using Filtered Collection , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[13]  Djoerd Hiemstra,et al.  Modeling multi-step relevance propagation for expert finding , 2008, CIKM '08.

[14]  Krisztian Balog,et al.  People search in the enterprise , 2007, SIGF.

[15]  Djoerd Hiemstra,et al.  Being Omnipresent To Be Almighty: The Importance of The Global Web Evidence for Organizational Expert Finding , 2008 .

[16]  ChengXiang Zhai,et al.  Probabilistic Models for Expert Finding , 2007, ECIR.