Micro-behaviour with Reinforcement Knowledge-aware Reasoning for Explainable Recommendation

作者：

Highlights：

• Incorporates micro-behaviour and the knowledge graph into reinforcement learning.

• The model learns the behaviour by user–item propagation and the relation from the KG and combines the two to mine user’s interests.

• Shawo-relational path that combines recommendation and interpretability by providing rational paths.

摘要

•Incorporates micro-behaviour and the knowledge graph into reinforcement learning.•The model learns the behaviour by user–item propagation and the relation from the KG and combines the two to mine user’s interests.•Shawo-relational path that combines recommendation and interpretability by providing rational paths.

论文关键词：Micro-behaviour,Knowledge graph,Deep reinforcement learning,Recommendation,Explanation

论文评审过程：Received 21 September 2021, Revised 27 May 2022, Accepted 16 June 2022, Available online 20 June 2022, Version of Record 1 July 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109300