Reduce unrelated Knowledge through Attribute Collaborative signal for knowledge graph recommendation

作者：

Highlights：

• A reduce unrelated knowledge through attribute collaborative recommender method.

• Reduce redundant knowledge information in knowledge graph through attribute.

• Aggregate the neighborhood information with multi-hop and high correlation.

• Using attention mechanism to distinguish the importance of nodes.

摘要

•A reduce unrelated knowledge through attribute collaborative recommender method.•Reduce redundant knowledge information in knowledge graph through attribute.•Aggregate the neighborhood information with multi-hop and high correlation.•Using attention mechanism to distinguish the importance of nodes.

论文关键词：Recommender system,Knowledge graph,Collaborative signal,Attention mechanism

论文评审过程：Received 24 October 2021, Revised 22 January 2022, Accepted 28 March 2022, Available online 4 April 2022, Version of Record 22 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117078