A Contents Recommendation Scheme Based on Collaborative Filtering Using Consumer`s Affection and Consumption Type 


Vol. 15,  No. 3, pp. 421-428, Jun.  2008
10.3745/KIPSTD.2008.15.3.421


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  Abstract

Collaborative filtering is a popular technique used for the recommendation system, but its performance, especially the accuracy of recommendation, depends on how to define the reference group. This paper proposes a new contents recommendation scheme based on collaborative filtering technique whose reference groups are created by consumer's affection and consumption type in order to improve the accuracy of recommendation. In this paper, joy, sadness, anger, happiness, and relax are considered as the consumer's affection. And, low-utility / low-pleasure, low-utility / high-pleasure, high-utility / low-pleasure, and high-utility / high-pleasure are considered as the consumer's shopping types. Experimental results show that the proposed scheme improves the accuracy of recommendation compared to the recommendation scheme considering neither consumer's affection nor consumption type.

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[IEEE Style]

I. B. Choi, T. K. Park, J. D. Lee, "A Contents Recommendation Scheme Based on Collaborative Filtering Using Consumer`s Affection and Consumption Type," The KIPS Transactions:PartD, vol. 15, no. 3, pp. 421-428, 2008. DOI: 10.3745/KIPSTD.2008.15.3.421.

[ACM Style]

In Bok Choi, Tae Keun Park, and Jae Dong Lee. 2008. A Contents Recommendation Scheme Based on Collaborative Filtering Using Consumer`s Affection and Consumption Type. The KIPS Transactions:PartD, 15, 3, (2008), 421-428. DOI: 10.3745/KIPSTD.2008.15.3.421.

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