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An Emotional Distance Calculation for Recommending Musical Films in Kansei Space

Asia Pacific Symposium on Intelligent and Evolutionary Systems(2019)

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Abstract
For each movie, every person recognizes every event with Kansei which is unique to the individual. In this method, we focus on the point that people like about musical movies and then create a Kansei space for musical films using the idea of mathematical models of meaning. In this method, we calculate an emotional distance in Kansei space and provide the best recommendation for users with new user experiences.
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Key words
sensitivity,corpus,SPA-based,personalization,persistency,text processing
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