ReEx: An integrated architecture for preference model representation and explanation

作者：

Highlights：

• The reasons for recommendations are extracted from the preference aspects.

• The rating-based aspect contributions are matched with verbal reviews.

• Graphs of aspect contributions in ratings provide a visual rationale.Word clouds show the opinions in reviews that explain a recommendation.

摘要

•The reasons for recommendations are extracted from the preference aspects.•The rating-based aspect contributions are matched with verbal reviews.•Graphs of aspect contributions in ratings provide a visual rationale.Word clouds show the opinions in reviews that explain a recommendation.

论文关键词：Explaining recommendations,Recommender systems,Latent factor models,Aspects of preferences,User and item bias,Feature preferences,Feature value preferences,Preference drift

论文评审过程：Received 29 June 2019, Revised 23 December 2019, Accepted 28 June 2020, Available online 11 July 2020, Version of Record 20 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113706