CAFOB: Context-aware fuzzy-ontology-based tourism recommendation system

作者：

Highlights：

• A fuzzy-weighted ontology that is more representative of real life.

• CAFOB benefits from the advantages of ontology, semantics, and context-awareness.

• A higher accuracy than cluster-based TRSs by considering each keyword individually.

• A new TRS feature-based taxonomy that provides an insightful research framework.

摘要

•A fuzzy-weighted ontology that is more representative of real life.•CAFOB benefits from the advantages of ontology, semantics, and context-awareness.•A higher accuracy than cluster-based TRSs by considering each keyword individually.•A new TRS feature-based taxonomy that provides an insightful research framework.

论文关键词：Recommendation system,Tourism,Context-aware,Fuzzy ontology,User preferences,Sentiment analysis

论文评审过程：Received 18 August 2021, Revised 12 January 2022, Accepted 10 March 2022, Available online 19 March 2022, Version of Record 29 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116877