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Study of the Regularity of the Users’ Internet Accesses

  • Nicolas Durand
  • Luigi Lancieri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

The aim of this study is to investigate relationship between past users’ behavior (described by access patterns) and future one. The two main ideas are first to explore the possible users’ characterization that can be extracted from access pattern. This allows to measure and to have a better understanding of users’ behavior. This knowledge allows us to build new services as building interest communities based on a comparative approach and clustering. The second idea is to see if these characterizations can be useful to forecast future access. This could be useful to prefetch web data in proxy-cache. We show that there are some partial mathematical models binding the users’ behavior to the repetition of queries.

Keywords

Access Pattern Temporal Coherence Past User Mining Sequential Pattern France Telecom 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Nicolas Durand
    • 1
  • Luigi Lancieri
    • 1
  1. 1.France Telecom R&DCaen

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