Conversational recommender systems techniques, tools, acceptance, and adoption: A state of the art review

作者：

Highlights：

• The study gives an overview of the essential components of conversational recommender systems.

• The study describes various techniques and models.

• The analysis brings out various tools and frameworks implemented in different domains.

• The analysis brings out the challenges addressed and the way forward.

摘要

•The study gives an overview of the essential components of conversational recommender systems.•The study describes various techniques and models.•The analysis brings out various tools and frameworks implemented in different domains.•The analysis brings out the challenges addressed and the way forward.

论文关键词：Preference elicitation,Critiquing,Interactive recommender,Conversational systems,Recommendation,Systematic review

论文评审过程：Received 2 June 2020, Revised 1 May 2022, Accepted 6 May 2022, Available online 10 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117539