Interval-enhanced Graph Transformer solution for session-based recommendation

作者：

Highlights：

• Introduce time intervals into session graphs for recommendation.

• Design multiple time interval enhancement functions for session graphs.

• Graph Transformer to learn the complex interaction information among items.

摘要

•Introduce time intervals into session graphs for recommendation.•Design multiple time interval enhancement functions for session graphs.•Graph Transformer to learn the complex interaction information among items.

论文关键词：Attention network,Graph transformer,Session-based recommendation,Session graph,Time interval

论文评审过程：Received 20 June 2022, Revised 1 October 2022, Accepted 1 October 2022, Available online 13 October 2022, Version of Record 20 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118970