Challenges in User Modeling and Personalization.

IEEE Intelligent Systems(2017)

Cited 15|Views29
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Abstract
Personalization has a long history, dating back to the “master-apprentice” approach of individual tutoring that sought to pass on knowledge and skills from one generation to the next. Through user modeling and adaptation, we try to capture the tutor's human intelligence and turn it into artificial intelligence. Over the last decades, this research has evolved from an expert-driven approach toward ...
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Key words
Adaptation models,Painting,Databases,Art,Adaptive systems,Artificial intelligence,Semantics
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