T3SRS: Tensor Train Transformer for compressing sequential recommender systems

Hao Li, Jianli Zhao, Huan Huo, Sheng Fang, Jianjian Chen, Lutong Yao, Yiran Hua

Abstract: Highlights•A novel model as a remedy for parameter redundancy in SRSs is proposed.•A tensor train layer has lower space complexity than the original linear layer.•The proposed model compresses SRSs parameters effectively.•Tensor Train Transformer model is broadly applicable.