Harnessing heterogeneous social networks for better recommendations: A grey relational analysis approach

作者：

Highlights：

• We apply grey relational analysis into the recommender system.

• User profile is integrated for identifying the implicit social relationships.

• Implicit social relationships are integrated into the matrix factorization model.

• The proposed method reduces the rating prediction error.

摘要

•We apply grey relational analysis into the recommender system.•User profile is integrated for identifying the implicit social relationships.•Implicit social relationships are integrated into the matrix factorization model.•The proposed method reduces the rating prediction error.

论文关键词：Recommender system,Heterogeneous social network,Grey relational analysis,Recommendation algorithm,Implicit social relationships,User profile

论文评审过程：Received 30 October 2020, Revised 17 February 2021, Accepted 20 February 2021, Available online 26 February 2021, Version of Record 6 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114771