Knowledge graph enhanced neural collaborative recommendation

作者：

Highlights：

• An end-to-end knowledge graph enhanced neural recommendation is proposed.

• An embedding propagation-based entity embedding framework is built.

• An outer product based convolutional neural correlations framework is presented.

摘要

•An end-to-end knowledge graph enhanced neural recommendation is proposed.•An embedding propagation-based entity embedding framework is built.•An outer product based convolutional neural correlations framework is presented.

论文关键词：Recommendation system,Knowledge graph,Neural collaborative filtering,Graph convolutional networks,Attention mechanism

论文评审过程：Received 17 November 2019, Revised 6 September 2020, Accepted 9 September 2020, Available online 12 September 2020, Version of Record 17 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113992