AENAR: An aspect-aware explainable neural attentional recommender model for rating predication

作者：

Highlights：

• Applied CNN to extract fine-grained textual feature information.

• An attention mechanism designed for capturing the diverse user preferences.

• Explainable model that can trace back to keywords in review via attention mechanism.

摘要

•Applied CNN to extract fine-grained textual feature information.•An attention mechanism designed for capturing the diverse user preferences.•Explainable model that can trace back to keywords in review via attention mechanism.

论文关键词：Recommender systems,Neural networks,Attention mechanism,Deep learning

论文评审过程：Received 17 April 2021, Revised 13 January 2022, Accepted 20 February 2022, Available online 6 March 2022, Version of Record 11 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116717