Avaliação comparativa de algoritmos de personalização para direcionamento de conteúdo

  • Authors:
  • Carlos R. C. Alves;Lúcia V. L. Filgueiras

  • Affiliations:
  • Escola Politécnica da Universidade de S. Paulo;Escola Politécnica da Universidade de S. Paulo

  • Venue:
  • CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
  • Year:
  • 2005

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Abstract

Personalization techniques that combine user characteristics, user behavior, and content organization can be used to help users on finding objectively content on the web. The main contribution of this text is the multidisciplinary study that was conducted integrating different areas on human knowledge in order to find the best way to direct content, including a wide research on personalization concepts and application. This study also presents the development of the Argo software which is formed by a web site, a component that captures and stores information about the user navigation, and three different personalization algorithms. Using navigation data it is possible to generate user profile, which is used to recommend content. Tests were conducted to check efficiency of the personalization algorithms.