Now showing items 6-8 of 8

  • Integrating multiple windows and document features for expert finding. 

    Zhu, Jianhan; Song, Dawei; Ruger, Stefan (Wiley http://dx.doi.org/10.1002/asi.21012, 2009-04)
    ZHU, J, SONG, D. and RUGER, S., 2009. Integrating multiple windows and document features for expert finding. Journal of the American Society for Information Science and Technology, 60 (4), pp. 694-715.
    Expert finding is a key task in enterprise search and has recently attracted lots of attention from both research and industry communities. Given a search topic, a prominent existing approach is to apply some information ...
  • The Open University at TREC 2007 enterprise track expert search task. 

    Zhu, Jianhan; Song, Dawei; Ruger, Stefan (NIST http://trec.nist.gov/pubs/trec16/papers/openu.ent.final.pdf, 2008-02)
    ZHU, J., SONG, D. and RUGER, S., 2008. The Open University at TREC 2007 enterprise track expert search task. In: E. M. VOORHEES and L. P. BUCKLAND, eds. NIST Special Publication 500-274: The Sixteenth Text REtrieval Conference Proceedings (TREC 2007). 5-9 November 2007. Gaithersburg, MD: NIST.
    The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise Track in TREC 2007. In both the document and ...
  • Robust query-specific pseudo feedback document selection for query expansion. 

    Huang, Qiang; Song, Dawei; Ruger, Stefan (Springer http://dx.doi.org/10.1007/978-3-540-78646-7_54, 2008)
    HUANG, Q., SONG, D. and RUGER, S., 2008. Robust query-specific pseudo feedback document selection for query expansion. In: C. MACDONALD, I. OUNIS, V. PLACHOURAS, I. RUTHVEN and R.W. WHITE, eds. Advances in Information Retrieval: 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008; Proceedings. Berlin: Springer. pp. 547- 554
    In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. However, very little at- tention has ...