Ephemeral and Persistent Personalization in Adaptive Information Access to Scholarly Publications on the Web

  • Stefano Mizzaro
  • Carlo Tasso
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2347)

Abstract

We show how personalization techniques can be exploited to implement more adaptive and effective information access systems in electronic publishing. We distinguish persistent (or long term) and ephemeral (or short term) personalization, and we describe how both of them can be profitably applied in information filtering and retrieval systems used, via a specialized Web portal, by physicists in their daily job. By means of several experimental results, we demonstrate that persistent personalization is needed and useful for information filtering systems, and ephemeral personalization leads to more effective and usable information retrieval systems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Stefano Mizzaro
    • 1
  • Carlo Tasso
    • 1
  1. 1.Artificial Intelligence Laboratory Department of Mathematics and Computer ScienceUniversity of UdineItaly

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