A recommender approach based on customer emotions

作者：

Highlights：

• Hypothesis on the link emotions-preferences-recommandation is proposed and validated.

• A modelization of a customer panel by profile is proposed.

• An algorithm based on customer emotions to improve the recommandations is presented.

• The performance of our algorithm on simulated and real (movies) data is evaluated.

摘要

•Hypothesis on the link emotions-preferences-recommandation is proposed and validated.•A modelization of a customer panel by profile is proposed.•An algorithm based on customer emotions to improve the recommandations is presented.•The performance of our algorithm on simulated and real (movies) data is evaluated.

论文关键词：Recommender systems,Preference,Emotions,Customer profile,User evaluations

论文评审过程：Received 24 October 2017, Revised 26 January 2018, Accepted 18 December 2018, Available online 22 December 2018, Version of Record 30 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.035