Personalized Movie Recommendation System Using Context-Aware Collaborative Filtering Technique


KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 9, pp. 289-296, Sep. 2015
10.3745/KTCCS.2015.4.9.289,   PDF Download:

Abstract

The explosive growth of information has been difficult for users to get an appropriate information in time. The various ways of new services to solve problems has been provided. As customized service is being magnified, the personalized recommendation system has been important issue. Collaborative filtering system in the recommendation system is widely used, and it is the most successful process in the recommendation system. As the recommendation is based on customers`` profile, there can be sparsity and cold-start problems. In this paper, we propose personalized movie recommendation system using collaborative filtering techniques and context-based techniques. The context-based technique is the recommendation method that considers user``s environment in term of time, emotion and location, and it can reflect user``s preferences depending on the various environments. In order to utilize the context-based technique, this paper uses the human emotion, and uses movie reviews which are effective way to identify subjective individual information. In this paper, this proposed method shows outperforming existing collaborative filtering methods.


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Cite this article
[IEEE Style]
M. J. Kim, D. S. Park, M. Hong, H. Lee, "Personalized Movie Recommendation System Using Context-Aware Collaborative Filtering Technique," KIPS Transactions on Computer and Communication Systems, vol. 4, no. 9, pp. 289-296, 2015. DOI: 10.3745/KTCCS.2015.4.9.289.

[ACM Style]
Min Jeong Kim, Doo Soon Park, Min Hong, and Hwamin Lee. 2015. Personalized Movie Recommendation System Using Context-Aware Collaborative Filtering Technique. KIPS Transactions on Computer and Communication Systems, 4, 9, (2015), 289-296. DOI: 10.3745/KTCCS.2015.4.9.289.