A Collaborative Filtering Based Social Recommender System for E-Commerce
نویسندگان
چکیده
Social commerce based on relations is developing rapidly in recent years and the personalized recommender systems make the contribution. Based on the traditional collaborative filtering (CF) algorithm, this study proposes a social recommender systems that combing preference similarity, reputation-based trust and social relations between users. Using the real data from Epinions.com, we compared it with other five systems to evaluate its performance. The experimental results shows that the new recommender systems is quite promising in terms of mean absolute error (MAE), prediction precision, and recommendation precision compared to the traditional ones. Keywordssocial recommender systems; collaborative filtering; preference similarity; trust; social relations
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