Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

作者：

Highlights：

• An emotion-aware computational model based on affective user profiles is proposed

• An affective coherence score between an item and the user profile is defined

• The model is integrated in state-of-art recommendation approaches

• The way preferences depend on user emotional state varies from user to user

摘要

•An emotion-aware computational model based on affective user profiles is proposed•An affective coherence score between an item and the user profile is defined•The model is integrated in state-of-art recommendation approaches•The way preferences depend on user emotional state varies from user to user

论文关键词：Recommender Systems,Affective Computing,Music Recommendation,Decision Making,myPersonality,Emotions

论文评审过程：Received 15 January 2020, Accepted 24 November 2020, Available online 24 December 2020, Version of Record 13 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114382