Content-based group recommender systems: A general taxonomy and further improvements

作者：

Highlights：

• Introduction of a taxonomy for content-based group recommendation systems.

• Development of three new specific models that can be used for building CB-GRS.

• Introduction of a new hybrid CB-GRS model.

• Experimental analysis of the previous CB-GRS frameworks.

摘要

•Introduction of a taxonomy for content-based group recommendation systems.•Development of three new specific models that can be used for building CB-GRS.•Introduction of a new hybrid CB-GRS model.•Experimental analysis of the previous CB-GRS frameworks.

论文关键词：Content-based recommendation,Group recommender systems,Machine learning,Personalization

论文评审过程：Received 22 October 2020, Revised 14 May 2021, Accepted 12 June 2021, Available online 30 June 2021, Version of Record 5 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115444