Private Information Shielding Service for Overcoming Privacy Risk in Recommender System
نویسندگان
چکیده
Recommender system has been one of the main enabler of eCommerce personalization, and there have been many researches for improving the fitness of recommendation. However, the necessity of aggregated personal information has pointed out the privacy risk of recommender system. In this paper, we provide basic framework for analyzing the behavior of private information sharing in recommender system, and based on the analysis emphasize the importance of securing trust in eCommerce system. Finally, we suggest the PRINSS-PRivate INformation Shielding Service for enhancing current recommender system by reducing privacy risk with minimizing the deterioration of recommendation.
منابع مشابه
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