An entropy empowered hybridized aggregation technique for group recommender systems

作者：

Highlights：

• Limitations of existing aggregation techniques in group recommenders are revealed.

• A comprehensive literature review of the group recommender systems is presented.

• Two novel hybridized aggregation techniques are developed.

• An enhanced entropy-based hybridized aggregation technique is proposed.

摘要

•Limitations of existing aggregation techniques in group recommenders are revealed.•A comprehensive literature review of the group recommender systems is presented.•Two novel hybridized aggregation techniques are developed.•An enhanced entropy-based hybridized aggregation technique is proposed.

论文关键词：Group recommender system,Aggregation technique,Entropy,Additive utilitarian,Approval voting,Agreement without uncertainty

论文评审过程：Received 9 April 2020, Revised 12 September 2020, Accepted 8 October 2020, Available online 10 October 2020, Version of Record 12 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114111