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User Profile Model: A View from Artificial Intelligence

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Rough Sets and Current Trends in Computing (RSCTC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2475))

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Abstract

The goal of this paper is to develop a user profile model for agent-based information filtering. We try to formalize the whole process of information filtering from an Artificial Intelligence point view. This research is related to develop novel techniques for interactive information gathering with the application of Artificial Intelligence, and Information Retrieval technologies. In this paper, we present a dynamical model to represent user profiles. We describe the user profiles as random sets on a concept space (taxonomy). We also present a rough set based qualitative decision model for the task of information filtering.

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References

  1. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, 1999.

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  4. Y. Y. Yao and S. K. M. Wong, A decision theoretic framework for approximating concepts, International Journal of Man-machine Studies, 1992, 37: 793–809.

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Author information

Authors and Affiliations

  1. School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, QLD 4001, Australia

    Yuefeng Li

  2. Department of Computer Science, University of Regina Regina, Saskatchewan, S4S 0A2, Canada

    Y. Y. Yao

Authors
  1. Yuefeng Li
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  2. Y. Y. Yao
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Editor information

Editors and Affiliations

  1. Penn State Great Valley School of Professional Graduate Studies, 30 East Swedesford Road, Malvern, PA, 19355, USA

    James J. Alpigini

  2. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada

    James F. Peters

  3. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Department of Systems and Information Engineering, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi-City, 371-0816, Japan

    Ning Zhong

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© 2002 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, Y., Yao, Y.Y. (2002). User Profile Model: A View from Artificial Intelligence. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_65

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  • DOI: https://doi.org/10.1007/3-540-45813-1_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

  • eBook Packages: Springer Book Archive

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