A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems

作者：

Highlights：

• Recommender system to solve precision-diversity dilemma.

• Importance of precision and diversity of recommendations from users’ perspective.

• Probabilistic graph-based method to provide desired level of diversity.

• Recommendations align to users’ preferences.

摘要

•Recommender system to solve precision-diversity dilemma.•Importance of precision and diversity of recommendations from users’ perspective.•Probabilistic graph-based method to provide desired level of diversity.•Recommendations align to users’ preferences.

论文关键词：Recommender Systems,User study,Collaborative filtering,Graph theory

论文评审过程：Received 14 August 2020, Revised 12 June 2021, Accepted 24 June 2021, Available online 29 June 2021, Version of Record 3 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115485