A tool for statistical analysis of navigational modelling for web site personalization and reengineering

  • Authors:
  • F. J. Monaco;C. X. Sheng;M. L. M. Peixoto

  • Affiliations:
  • Instituto de Ciencias Matematicas e de Computcao, Universidade de Sao Paulo, Sao Carlos, SP, Brazil;Instituto de Ciencias Matematicas e de Computcao, Universidade de Sao Paulo, Sao Carlos, SP, Brazil;Instituto de Ciencias Matematicas e de Computcao, Universidade de Sao Paulo, Sao Carlos, SP, Brazil

  • Venue:
  • WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
  • Year:
  • 2007

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Abstract

A suitable navigational model, conveniently tailored for the needs and access characteristics of the intended public, is one of the basic ingredients for ensuring the usability of successful Web applications. Properly identifying the navigational requisites of large Web applications, though, is not always an easy task particularly face to structural changes introduced by Web site evolution, which is prone do deviate the effective navigational patterns from those conceived in the original model. This paper introduces an under development research tool for structural modeling and statistical navigational analysis ofWeb applications which traces link paths exercised by visitors and allow the identification of characteristic navigation patterns. Application inWeb restructuring, pre-fetching cache techniques and adaptive content systems are discussed.