A significance-based trust-aware recommendation approach
作者：
Highlights：
• A new trust-aware recommendation approach based on the concept of item significance.
• The significance measure is defined with respect to the demographic context of users.
• The shuffled frog leaping algorithm is used to model demographic context.
• The quality of predictions and recommendations is improved.
• The proposed approach overcomes the scalability problem.
摘要
•A new trust-aware recommendation approach based on the concept of item significance.•The significance measure is defined with respect to the demographic context of users.•The shuffled frog leaping algorithm is used to model demographic context.•The quality of predictions and recommendations is improved.•The proposed approach overcomes the scalability problem.
论文关键词：Recommender systems,Trust,Collaborative filtering,Demographic context,Shuffled frog leaping algorithm
论文评审过程：Received 15 November 2018, Revised 23 April 2019, Accepted 17 July 2019, Available online 31 July 2019, Version of Record 2 August 2019.
论文官网地址：https://doi.org/10.1016/j.is.2019.101421
