A contents recommendation scheme using user's affection and shopping motive

This paper proposes a contents recommendation scheme using user's affection and shopping motive to improve the accuracy of recommendation. In this paper, joy, sadness, anger, happiness, and relaxation are considered as the user's affection. And the user's shopping motive is classified into four types: low-utility/low-pleasure, low-utility/high-pleasure, highutility/low-pleasure, and high-utility/high-pleasure. experimental results show that the proposed scheme improves the accuracy of contents recommendation compared to the ecommendation without considering user's affection and shopping motive.

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