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

Authors:
In-Bok Choi;So-Hyun Park;Wooram Park;Eun-Sun Choi;Taekeun Park;Jae-Dong Lee
Affiliations:
Dankook University, Yongin-si, South Korea;Dankook University, Yongin-si, South Korea;Dankook University, Yongin-si, South Korea;Dankook University, Yongin-si, South Korea;Dankook University, Cheonan-si, South Korea;Dankook University, Yongin-si, South Korea
Venue:
Proceedings of the 5th international conference on Pervasive services
Year:
2008

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Abstract

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.