A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship

作者：Li Yung Ming^*; Wu Chun Te; Lai Cheng Yang

来源：Decision Support Systems, 2013, 55(3): 740-752.

DOI：10.1016/j.dss.2013.02.009

• E-commerce
• Social recommender systems
• Preference similarity
• Trust
• Social relation
• Analytic hierarchy process

Online business transactions and the success of e-commerce depend greatly on the effective design of a product recommender mechanism. This study proposes a social recommender system that can generate personalized product recommendations based on preference similarity, recommendation trust, and social relations. Compared with traditional collaborative filtering approaches, the advantage of the proposed mechanism is its comprehensive consideration of recommendation sources. Accordingly, our experimental results show that the proposed model outperforms other benchmark methodologies in terms of recommendation accuracy. The proposed framework can also be effectively applied to e-commerce retailers to promote their products and services.

• 出版日期2013-6