T3SRS: Tensor Train Transformer for compressing sequential recommender systems-Reference-Cited by-同舟云学术

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T3SRS: Tensor Train Transformer for compressing sequential recommender systems

Published:2024-03 Issue: Volume:238 Page:122260
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Wide compression: Tensor ring nets;Aggarwal,2018

2. Hippocampal spine head sizes are highly precise;Bartol;bioRxiv,2015

3. Sequential recommendation with user memory networks;Chen,2018

4. Generating long sequences with sparse transformers;Child,2019

5. Universal transformers;Dehghani,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A generalized two-stage tensor denoising method based on the prior of the noise location and rank;Expert Systems with Applications;2024-12

2. A survey of sequential recommendation systems: Techniques, evaluation, and future directions;Information Systems;2024-11

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