Predicting User Experiences through Cross-Context Reasoning
نویسندگان
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.
منابع مشابه
Providing Context-Aware Personalization through Cross-Context Reasoning of User Modeling Data
Existing personalization systems base their services on user models that typically disregard the issue of context-awareness. This work focuses on developing mechanisms for cross-context reasoning, i.e., inferences linking user model data in two different contexts. That reasoning process can augment the typically sparse user models, by inferring the missing information from other contextual cond...
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