Gating augmented capsule network for sequential recommendation

作者：

Highlights：

• A novel Gating Augmented Capsule Network for sequential recommendation is proposed.

• Presenting a personalized gating module to augment the user-specific representation.

• Designing a two-channel routing module to capture item- and factor-level transitions.

• The extensive experiments demonstrate the state-of-the-art performance of GAC.

摘要

•A novel Gating Augmented Capsule Network for sequential recommendation is proposed.•Presenting a personalized gating module to augment the user-specific representation.•Designing a two-channel routing module to capture item- and factor-level transitions.•The extensive experiments demonstrate the state-of-the-art performance of GAC.

论文关键词：Capsule network,Gated mechanism,Sequential recommendation,Implicit feedback

论文评审过程：Received 31 August 2021, Revised 10 April 2022, Accepted 12 April 2022, Available online 20 April 2022, Version of Record 29 April 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108817