Now showing items 1-3 of 3

  • Concept-based document readability in domain specific information retrieval. 

    Yan, Xin; Song, Dawei; Li, Xue (ACM http://doi.acm.org/10.1145/1183614.1183692, 2006)
    YAN, X., SONG, D. and LI, X., 2006. Concept-based document readability in domain specific information retrieval. In: P. YU, V. TSOTRAS, E. FOX and B. LIU, eds. Proceedings of the 15th ACM International Conference on Information and Knowledge Management. 6-11 November 2006. Arlington, VA, USA. pp. 540-549.
    Domain specific information retrieval has become in demand. Not only domain experts, but also average non-expert users are interested in searching domain specific (e.g., medical and health) information from online resources. ...
  • Dimension-specific search for advanced applications. 

    Zi, Huang; Shen, Heng Tao; Song, Dawei; Li, Xue; Rueger, Stefan (Springer http://dx.doi.org/10.1007/978-3-642-00887-0_60 The original publication is available at www.springerlink.com., 2009-03)
    HUANG, Z., SHEN, H. T., SONG, D., LI, X. and RUEGER, S., 2009. Dimension-specific search for multimedia retrieval. In: X. ZHOU et al., eds. Database Systems for Advanced Applications: 14th International Conference, DASFAA 2009, Brisbane, Australia, April 2009, Proceedings. 21-23 April 2009. Berlin: Springer. pp. 693-698.
    Observing that current Global Similarity Measures (GSM) which average the effect of few significant differences on all dimensions may cause pos- sible performance limitation, we propose the first Dimension-specific ...
  • Document re-ranking by generality in bio-medical information retrieval. 

    Yan, Xin; Li, Xue; Song, Dawei (Springer http://dx.doi.org/10.1007/11581062_28, 2005)
    YAN, X., LI, X. and SONG, D., 2005. Document re-ranking by generality in bio-medical information retrieval. In: A. NGU, M. KITSUREGAWA, E. NEUHOLD, J.-Y. CHUNG and Q. SHENG. Eds. Web Information Systems Engineering – WISE 2005: 6th International Conference on Web Information Systems Engineering, New York, NY, USA, November 20-22, 2005; Proceedings. Berlin: Springer. pp. 376-389.
    Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document rank- ing methods ...