A hybrid recommender system for recommending relevant movies using an expert system

作者：

Highlights：

• A hybrid recommender system using an expert system is proposed.

• The system combines a CF system, a CBF system and an expert system.

• The expert system evaluates the importance of each recommended movie.

• The system is compared with other typical recommender approaches.

• The system is validated on a group of users with promising results.

摘要

•A hybrid recommender system using an expert system is proposed.•The system combines a CF system, a CBF system and an expert system.•The expert system evaluates the importance of each recommended movie.•The system is compared with other typical recommender approaches.•The system is validated on a group of users with promising results.

论文关键词：Recommender system,Hybrid recommender system,Expert system,Collaborative-filtering,Content-based filtering,Movies,Rating

论文评审过程：Received 5 December 2019, Revised 7 April 2020, Accepted 12 April 2020, Available online 13 May 2020, Version of Record 21 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113452