Attention-based dynamic user modeling and Deep Collaborative filtering recommendation

作者：

Highlights：

• a time-aware attention mechanism to model dynamic user preferences.

• a two-stage DL model with representation learning and matching function learning.

• a CF model with low-order and high-order feature interaction learning ability.

摘要

•a time-aware attention mechanism to model dynamic user preferences.•a two-stage DL model with representation learning and matching function learning.•a CF model with low-order and high-order feature interaction learning ability.

论文关键词：Short-term preferences,Long-term preferences,Dynamic preference modeling,Matching score prediction,Time-aware attention

论文评审过程：Received 28 March 2021, Revised 26 August 2021, Accepted 3 October 2021, Available online 7 October 2021, Version of Record 14 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116036