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In-car comfort functions decrease driving stress and therefore increase safety. Drivers typically do not use all available comfort functions optimally, if at all, in every situation they would offer a substantial increase in comfort. Automating such functions as proactive recommender systems would exploit the full potential for decreasing driver stress. Because comfort functions are highly dependent on the driver's habits, learning the individual user behavior is necessary. We propose adblp:conf/gi/StoneBGHJS14 fatcat:xvimdgctzbdsrivp7ly77beihq