A conversational recommender system for diagnosis using fuzzy rules
作者：
Highlights：
• A conversational rule-based recommender system is presented using logic.
• The novelty is that the logic is inside the Formal Concept Analysis framework.
• The use of logic allows to reduce the complexity of the recommendation task.
• The system achieves top accuracy in a real-world medical diagnosis problem.
• The best critiquing and elicitation methods are determined via experimentation.
摘要
•A conversational rule-based recommender system is presented using logic.•The novelty is that the logic is inside the Formal Concept Analysis framework.•The use of logic allows to reduce the complexity of the recommendation task.•The system achieves top accuracy in a real-world medical diagnosis problem.•The best critiquing and elicitation methods are determined via experimentation.
论文关键词：Recommendation,Diagnosis,Fuzzy logic,Critiquing,Formal concept analysis
论文评审过程：Received 6 November 2019, Revised 3 March 2020, Accepted 10 April 2020, Available online 14 April 2020, Version of Record 20 April 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113449
