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Sequential Recommendation via Stochastic Self-Attention

Sequential Recommendation via Stochastic Self-Attention

16 January 2022
Ziwei Fan
Zhiwei Liu
Alice Wang
Zahra Nazari
Lei Zheng
Hao Peng
Philip S. Yu
    AI4TS
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Papers citing "Sequential Recommendation via Stochastic Self-Attention"

28 / 28 papers shown
Title
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yuqing Yang
Zhi Ji
Z. Li
Yongqian Li
Zhonglin Mo
...
Kai Chen
Zijian Zhang
Jie Li
Shuanglong Li
L. Liu
72
2
0
04 Mar 2025
Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching
Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching
Yihan Wang
Fei Xiong
Zhexin Han
Qi Song
Kaiqiao Zhan
Ben Wang
35
0
0
28 Feb 2025
Generative Diffusion Models for Sequential Recommendations
Generative Diffusion Models for Sequential Recommendations
Sharare Zolghadr
Ole Winther
Paul Jeha
DiffM
30
0
0
25 Oct 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation
  via Weak Transitivity
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
H. Chung
Jungtaek Kim
Hyungeun Jo
Hyungwon Choi
39
0
0
01 Aug 2024
RDRec: Rationale Distillation for LLM-based Recommendation
RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang
Jin Cui
Yoshimi Suzuki
Fumiyo Fukumoto
LRM
36
11
0
17 May 2024
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime
  Prediction
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction
Kaixi Hu
Lin Li
Qing Xie
Xiaohui Tao
Guandong Xu
AI4TS
19
1
0
10 Apr 2024
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential
  Recommendation
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
Jiajie Su
Chaochao Chen
Zibin Lin
Xi Li
Weiming Liu
Xiaolin Zheng
38
23
0
22 Feb 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
End-to-end Learnable Clustering for Intent Learning in Recommendation
Yue Liu
Shihao Zhu
Jun-Xiong Xia
Yingwei Ma
Jian Ma
Wenliang Zhong
Xinwang Liu
Guannan Zhang
Kejun Zhang
36
9
0
11 Jan 2024
Data Scarcity in Recommendation Systems: A Survey
Data Scarcity in Recommendation Systems: A Survey
Zefeng Chen
Wensheng Gan
Jiayang Wu
Kaixia Hu
Hong Lin
22
21
0
08 Dec 2023
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention
Franciskus Xaverius Erick
Mina Rezaei
Johanna P. Müller
Bernhard Kainz
20
0
0
30 Nov 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
42
15
0
28 Nov 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding
  Evolution
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu
Jun Wang
Jianyong Wang
Wei Zhang
GNN
29
1
0
24 Sep 2023
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for
  Enhanced Item Recommendation
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation
Jiazheng Jing
Yinan Zhang
Xin Zhou
Zhiqi Shen
AI4TS
35
6
0
17 Aug 2023
G-STO: Sequential Main Shopping Intention Detection via
  Graph-Regularized Stochastic Transformer
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Yuchen Zhuang
Xin Shen
Yan Zhao
Chaosheng Dong
Ming Wang
Jin Li
Chao Zhang
AI4TS
34
3
0
25 Jun 2023
Addressing the Rank Degeneration in Sequential Recommendation via
  Singular Spectrum Smoothing
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S. Yu
37
1
0
21 Jun 2023
Graph Masked Autoencoder for Sequential Recommendation
Graph Masked Autoencoder for Sequential Recommendation
Yaowen Ye
Lianghao Xia
Chao Huang
25
38
0
08 May 2023
Sequential Recommendation with Probabilistic Logical Reasoning
Sequential Recommendation with Probabilistic Logical Reasoning
Huanhuan Yuan
Pengpeng Zhao
Xuefeng Xian
Guanfeng Liu
Victor S. Sheng
Lei Zhao
NAI
20
5
0
22 Apr 2023
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential
  Recommendation
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation
Kibum Kim
Dongmin Hyun
Sukwon Yun
Chanyoung Park
23
22
0
17 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential
  Recommendation
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
Qiang Liu
Zhaocheng Liu
Zhen Zhu
Shu Wu
Liang Wang
OOD
OODD
40
3
0
12 Apr 2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal
  Kriging
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Chuanpan Zheng
Xiaoliang Fan
Cheng-i Wang
Jianzhong Qi
Chaochao Chen
Longbiao Chen
AI4TS
13
19
0
06 Feb 2023
Mutual Wasserstein Discrepancy Minimization for Sequential
  Recommendation
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S Yu
29
15
0
28 Jan 2023
Episodes Discovery Recommendation with Multi-Source Augmentations
Episodes Discovery Recommendation with Multi-Source Augmentations
Ziwei Fan
Alice Wang
Zahra Nazari
AI4TS
28
2
0
04 Jan 2023
Sequential Recommendation with Auxiliary Item Relationships via
  Multi-Relational Transformer
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer
Ziwei Fan
Zhiwei Liu
Chen Wang
Peijie Huang
Hao Peng
Philip S. Yu
17
7
0
24 Oct 2022
ContrastVAE: Contrastive Variational AutoEncoder for Sequential
  Recommendation
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Yu Wang
Hengrui Zhang
Zhiwei Liu
Liangwei Yang
Philip S. Yu
DRL
31
48
0
27 Aug 2022
Exploiting Session Information in BERT-based Session-aware Sequential
  Recommendation
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation
Jinseok Seol
Youngrok Ko
Sang-goo Lee
19
20
0
22 Apr 2022
ELECRec: Training Sequential Recommenders as Discriminators
ELECRec: Training Sequential Recommenders as Discriminators
Yong-Guang Chen
Jia Li
Caiming Xiong
18
15
0
05 Apr 2022
Augmenting Sequential Recommendation with Pseudo-Prior Items via
  Reversely Pre-training Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
111
145
0
02 May 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen-li Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark J. Coates
53
49
0
13 Jan 2021
1