Predicting User Experiences through Cross-Context Reasoning

نویسندگان

  • Shlomo Berkovsky
  • Tsvi Kuflik
  • Lora Aroyo
  • Dominik Heckmann
  • Alexander Kröner
  • Francesco Ricci
  • Geert-Jan Houben
چکیده

The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware per-sonalization. The reasoning augments the sparse user models by inferring the missing information from other contextual conditions. Thus, it upgrades the existing personalization systems and facilitates provision of accurate context-aware services.

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تاریخ انتشار 2006