On text ranking for information retrieval based on degree of preference

  • Authors:

  • Bo-Yeong Kang;Dae-Won Kim

  • Affiliations:

  • Center of Healthcare Ontology R&D, Seoul National University, Seoul, Korea;School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea

  • Venue:
  • CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2006

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Abstract

A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. However, these conventional fuzzy ranking models are limited to incorporate the user preference when calculating the rank of documents. To address this issue, we develop a new fuzzy ranking model based on the user preference.