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Extracting Attentive Social Temporal Excitation for Sequential
  Recommendation

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

28 September 2021
Yunzhe Li
Yue Ding
Bo Chen
Xin Xin
Yule Wang
Yuxiang Shi
Ruiming Tang
Dong Wang
    AI4TS
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Papers citing "Extracting Attentive Social Temporal Excitation for Sequential Recommendation"

4 / 4 papers shown
Title
A Comprehensive Study on Quantization Techniques for Large Language
  Models
A Comprehensive Study on Quantization Techniques for Large Language Models
Jiedong Lang
Zhehao Guo
Shuyu Huang
MQ
44
10
0
30 Oct 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with
  Generative Diffusion Models
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang
Chengrui Li
Weihan Li
Anqi Wu
DiffM
39
4
0
12 Oct 2024
Improving Sequential Recommendation Models with an Enhanced Loss
  Function
Improving Sequential Recommendation Models with an Enhanced Loss Function
Fan Li
Shenbao Yu
Feng Zeng
Fang Yang
27
1
0
03 Jan 2023
A Systematic Review and Replicability Study of BERT4Rec for Sequential
  Recommendation
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
Aleksandr V. Petrov
Craig Macdonald
25
45
0
15 Jul 2022
1