Context-Aware Website Personalization

نویسندگان

  • Daniela Wolff
  • Marc Schaaf
  • Stella Gatziu Grivas
  • Uwe Leimstoll
چکیده

Today there is a need in online shops to support the visitors of a web page appropriately by analyzing their current situation. In this paper we introduce a model which supports the identification of the content the user is interested in and the shopping strategy of the current session. We use context information extracted from enterprise data, content data, the current and the historical behaviour of the user. This allows us to get the interests and needs of the user. We monitor and analyse this content information at runtime and we use it for the adaption of the website during the navigation of the user.

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تاریخ انتشار 2011