A hybrid recommender system for an online store using a fuzzy 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 system is compared with other typical recommender approaches.

• The system is compared with other real online e-shop.

• The system is validated and verified 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 system is compared with other typical recommender approaches.•The system is compared with other real online e-shop.•The system is validated and verified on a group of users with promising results.

论文关键词：Recommender system,Hybrid recommender system,E-shopping recommender system,Expert system,Collaborative-filtering,Content-based filtering,Products

论文评审过程：Received 8 October 2021, Revised 8 August 2022, Accepted 12 August 2022, Available online 23 August 2022, Version of Record 9 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118565