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Rough — Fuzzy Reasoning for Customized Text Information Retrieval

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Advances in Web Intelligence (AWIC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2663))

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Abstract

Due to the large repository of documents available on the web, users are usually inundated by a large volume of information most of which are found to be irrelevant. Since user perspectives vary, a client-side text filtering system that learns the user’s perspective can reduce the problem of irrelevant retrieval. In this paper, we have provided the design of a customized text information filtering system which learns user preferences and uses a rough-fuzzy reasoning scheme to filter out irrelevant documents. The rough set based reasoning takes care of natural language nuances like synonym handling, very elegantly. The fuzzy decider provides qualitative grading to the documents for the user’s perusal. We have provided the detailed design of the various modules and some results related to the performance analysis of the system.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology, Hauz Khas, New Delhi, India, 110016

    Shailendra Singh, P. Dhanalakshmi & Lipika Dey

Authors
  1. Shailendra Singh
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  2. P. Dhanalakshmi
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  3. Lipika Dey
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Editor information

Editors and Affiliations

  1. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660, Madrid, Spain

    Ernestina Menasalvas  & Javier Segovia  & 

  2. Institute of Computer Science, Technical University of Lodz, ul.Sterlinga 16/18, 90-217, Lodz, Poland

    Piotr S. Szczepaniak

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© 2003 Springer-Verlag Berlin Heidelberg

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Singh, S., Dhanalakshmi, P., Dey, L. (2003). Rough — Fuzzy Reasoning for Customized Text Information Retrieval. In: Menasalvas, E., Segovia, J., Szczepaniak, P.S. (eds) Advances in Web Intelligence. AWIC 2003. Lecture Notes in Computer Science, vol 2663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44831-4_27

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  • DOI: https://doi.org/10.1007/3-540-44831-4_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40124-7

  • Online ISBN: 978-3-540-44831-0

  • eBook Packages: Springer Book Archive

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