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

作者：

Highlights：

• Success of e-commerce depends greatly on an effective product recommender design.

• The social recommender system can accurately generate personalized products.

• Recommendation sources include the factors of preference, trust, and relationships.

• The proposed framework can effectively promote retailer's products and services.

摘要

•Success of e-commerce depends greatly on an effective product recommender design.•The social recommender system can accurately generate personalized products.•Recommendation sources include the factors of preference, trust, and relationships.•The proposed framework can effectively promote retailer's products and services.

论文关键词：E-commerce,Social recommender systems,Preference similarity,Trust,Social relation,Analytic hierarchy process

论文评审过程：Received 6 December 2011, Revised 26 December 2012, Accepted 25 February 2013, Available online 13 March 2013.

论文官网地址：https://doi.org/10.1016/j.dss.2013.02.009