Item-network-based collaborative filtering: A personalized recommendation method based on a user's item network

作者：

Highlights：

• This study suggests item-network-based collaborative filtering.

• The method focuses on a user's item network to remedy the existing limitations.

• Centrality indicators of the item network are utilized for recommendations.

• The evaluation test results with sample data show potentials of our method.

摘要

•This study suggests item-network-based collaborative filtering.•The method focuses on a user's item network to remedy the existing limitations.•Centrality indicators of the item network are utilized for recommendations.•The evaluation test results with sample data show potentials of our method.

论文关键词：Recommendation system,Collaborative filtering,Item network,Centrality indicators,Social network analysis

论文评审过程：Received 6 October 2016, Revised 6 March 2017, Accepted 19 May 2017, Available online 24 May 2017, Version of Record 24 May 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2017.05.003