Session-based recommendation with time-aware neural attention network

作者：

Highlights：

• Propose a session-based recommendation model based on graph attention mechanism.

• Consider both the main purpose and general interests in user preference modeling.

• Propose a time-aware neural attention network to model dynamic user preferences.

摘要

•Propose a session-based recommendation model based on graph attention mechanism.•Consider both the main purpose and general interests in user preference modeling.•Propose a time-aware neural attention network to model dynamic user preferences.

论文关键词：Session-based recommendation,Graph neural network,Time-aware attention network,Dynamic user preference modeling

论文评审过程：Received 28 April 2022, Revised 29 July 2022, Accepted 3 August 2022, Available online 6 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118395