Now showing items 2-8 of 8

  • Dimensionality reduction for dimension-specific search. 

    Huang, Zi; Shen, Heng Tao; Zhou, Xiaofang; Song, Dawei; Ruger, Stefan (ACM http://doi.acm.org/10.1145/1277741.1277940, 2007)
    HUANG, Z., SHEN, H., ZHOU, X., SONG, D. and RUGER, S. 2007. Dimensionality reduction for dimension-specific search. In: C. CLARKE, N. FUHR, N. KANDO, W. KRAAIJ and A. DE VRIES, eds. Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 23-27 July 2007. Amsterdam. pp. 849-850
    Dimensionality reduction plays an important role in efficient similarity search, which is often based on k-nearest neighbor (k-NN) queries over a high-dimensional feature space. In this paper, we introduce a novel type ...
  • Dissimilarity measures for content-based image retrieval. 

    Hu, Rui; Ruger, Stefan; Song, Dawei; Liu, Haiming; Huang, Zi (IEEE http://dx.doi.org/10.1109/ICME.2008.4607697, 2008-06)
    HU, R., RUGER, S., SONG, D., LIU, H. and HUANG, Z., 2008. Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference on Multimedia and Expo: ICME 2008: Proceedings. 23-26 June 2008. IEEE. pp. 1365-1368.
    Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three ...
  • DYNIQX: a novel meta-search engine for the Web. 

    Zhu, Jianhan; Song, Dawei; Eisenstadt, Marc; Barladeanu, Cristi; Ruger, Stefan (International Journal of Information Studies (IJIS) http://www.istudies.net/ojs/index.php/journal/article/view/25/25, 2009)
    ZHU, J., SONG, D., EISENSTADT, M., BARLADEANU, C. and RUGER, S., 2009. DYNIQX: a novel meta-search engine for the Web. International Journal of Information Studies, 1 (1), pp. 2-27.
    The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based search. Dyniqx integrates search results from search ...
  • Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. 

    Song, Dawei; Huang, Qiang; Ruger, Stefan; Bruza, Peter D. (Springer http://dx.doi.org/10.1007/978-3-540-786-7_31, 2008)
    SONG, D., HUANG, Q., RUGER, S. and BRUZA, P. D., 2008. Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows. 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. 334-345.
    This paper presents a novel framework to further advance the recent trend of using query decomposition and high-order term re- lationships in query language modeling, which takes into account terms implicitly associated ...
  • 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 ...