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S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

18 August 2020
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
ArXiv (abs)PDFHTML

Papers citing "S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

50 / 245 papers shown
Title
Recommendation as Instruction Following: A Large Language Model
  Empowered Recommendation Approach
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang
Ruobing Xie
Yupeng Hou
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
81
225
0
11 May 2023
How to Index Item IDs for Recommendation Foundation Models
How to Index Item IDs for Recommendation Foundation Models
Wenyue Hua
Shuyuan Xu
Yingqiang Ge
Yongfeng Zhang
67
114
0
11 May 2023
Recommender Systems with Generative Retrieval
Recommender Systems with Generative Retrieval
Shashank Rajput
Nikhil Mehta
Anima Singh
Raghunandan H. Keshavan
T. Vu
...
Vinh Q. Tran
Jonah Samost
Maciej Kula
Ed H. Chi
M. Sathiamoorthy
RALM3DV
74
89
0
08 May 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative Filtering
Xubin Ren
Lianghao Xia
Jiashu Zhao
Dawei Yin
Chao Huang
69
79
0
04 May 2023
GARCIA: Powering Representations of Long-tail Query with
  Multi-granularity Contrastive Learning
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Weifan Wang
Binbin Hu
Zhicheng Peng
Mingjie Zhong
Qing Cui
Zhongyi Liu
Guannan Zhang
Jun Zhou
38
3
0
25 Apr 2023
Conditional Denoising Diffusion for Sequential Recommendation
Conditional Denoising Diffusion for Sequential Recommendation
Yu Wang
Zhiwei Liu
Liangwei Yang
Philip S. Yu
DiffM
55
25
0
22 Apr 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
48
5
0
22 Apr 2023
Causal Decision Transformer for Recommender Systems via Offline
  Reinforcement Learning
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
Siyu Wang
Xiaocong Chen
Dietmar Jannach
Lina Yao
CMLOffRL
100
28
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
OODOODD
111
3
0
12 Apr 2023
GPT4Rec: A Generative Framework for Personalized Recommendation and User
  Interests Interpretation
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Jinming Li
Wentao Zhang
Tiantian Wang
Guanglei Xiong
Alan Lu
Gérard Medioni
RALM
67
104
0
08 Apr 2023
Zero-Shot Next-Item Recommendation using Large Pretrained Language
  Models
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Lei Wang
Ee-Peng Lim
LRM
55
57
0
06 Apr 2023
AutoMLP: Automated MLP for Sequential Recommendations
AutoMLP: Automated MLP for Sequential Recommendations
Muyang Li
Zijian Zhang
Xiangyu Zhao
Wanyu Wang
Minghao Zhao
Runze Wu
Ruocheng Guo
AI4TS
49
46
0
11 Mar 2023
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster
  Sampling for Sequential Recommendation
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
Yongqiang Han
Likang Wu
Hao Wang
Guifeng Wang
Mengdi Zhang
Zhi Li
Defu Lian
Enhong Chen
68
26
0
01 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive
  Learning for Recommendation
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Guoqiang Sun
Yibin Shen
Sijing Zhou
Xiang Chen
Hongyan Liu
Chunming Wu
Chenyi Lei
Xianhui Wei
Fei Fang
56
11
0
28 Feb 2023
A Survey on User Behavior Modeling in Recommender Systems
A Survey on User Behavior Modeling in Recommender Systems
Zhicheng He
Weiwen Liu
Wei Guo
Jiarui Qin
Yingxue Zhang
Yaochen Hu
Ruiming Tang
99
32
0
22 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Shanlei Mu
Penghui Wei
Wayne Xin Zhao
Shaoguo Liu
Liangji Wang
Bo Zheng
62
4
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
76
16
0
28 Jan 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
67
69
0
13 Jan 2023
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
101
1
0
03 Jan 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for
  Sequential Recommendation
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
Yizhou Dang
Enneng Yang
G. Guo
Linying Jiang
Xingwei Wang
Xiaoxiao Xu
Qinghui Sun
Hong Liu
AI4TS
57
52
0
16 Dec 2022
Tensor-based Sequential Learning via Hankel Matrix Representation for
  Next Item Recommendations
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations
Evgeny Frolov
Ivan Oseledets
54
6
0
12 Dec 2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced
  Recommendation
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
Haolun Wu
Yingxue Zhang
Chen Ma
Wei Guo
Ruiming Tang
Xue Liu
Mark Coates
46
4
0
11 Nov 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal
  Treatment
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
Chenxiao Yang
Qitian Wu
Qingsong Wen
Zhiqiang Zhou
Liang Sun
Junchi Yan
OODDOOD
76
22
0
24 Oct 2022
Self-supervised Graph-based Point-of-interest Recommendation
Self-supervised Graph-based Point-of-interest Recommendation
Yongqian Li
Tong Chen
P. Zhang
Zi Huang
Hongzhi Yin
40
4
0
22 Oct 2022
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
98
136
0
22 Oct 2022
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Xu Yuan
Chengjun Xu
Qiwei Chen
Tao Zhuang
Hongjie Chen
Chong Li
Junfeng Ge
AI4TS
58
0
0
19 Oct 2022
Multi-Modal Recommendation System with Auxiliary Information
Multi-Modal Recommendation System with Auxiliary Information
Mufhumudzi Muthivhi
Terence L van Zyl
Hairong Wang
25
2
0
13 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
84
49
0
27 Aug 2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario
  Personalized Recommendation
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
Yuanliang Zhang
Xiaofeng Wang
Jinxin Hu
Ke Gao
Chenyi Lei
Fei Fang
41
18
0
24 Aug 2022
KEEP: An Industrial Pre-Training Framework for Online Recommendation via
  Knowledge Extraction and Plugging
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
Yujing Zhang
Zhangming Chan
Shuhao Xu
Weijie Bian
Shuguang Han
Hongbo Deng
Bo Zheng
78
22
0
22 Aug 2022
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic
  Response Generation
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation
Jinfeng Zhou
Chujie Zheng
Bo Wang
Zheng Zhang
Minlie Huang
73
31
0
18 Aug 2022
Generating Negative Samples for Sequential Recommendation
Generating Negative Samples for Sequential Recommendation
Yong-Guang Chen
Jia Li
Zhiwei Liu
N. Keskar
Haiquan Wang
Julian McAuley
Caiming Xiong
57
4
0
07 Aug 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and
  Diversified User Preferences
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
Mubashir Imran
Hongzhi Yin
Tong Chen
Nguyen Quoc Viet Hung
Alexander Zhou
Kai Zheng
64
71
0
28 Jul 2022
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
72
47
0
15 Jul 2022
Improving Multi-Interest Network with Stable Learning
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
107
1
0
14 Jul 2022
Effective and Efficient Training for Sequential Recommendation using
  Recency Sampling
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Aleksandr V. Petrov
Craig Macdonald
59
28
0
06 Jul 2022
Recommender Transformers with Behavior Pathways
Recommender Transformers with Behavior Pathways
Zhiyu Yao
Xinyang Chen
Sinan Wang
Qinyan Dai
Yumeng Li
Tanchao Zhu
Mingsheng Long
80
4
0
13 Jun 2022
Towards Universal Sequence Representation Learning for Recommender
  Systems
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou
Shanlei Mu
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
AI4TS
86
208
0
13 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
100
53
0
06 Jun 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang
Yong Liu
Yonghui Xu
Hao Xiong
Chenyi Lei
Weiliang He
Li-zhen Cui
Chunyan Miao
73
59
0
30 May 2022
CORE: Simple and Effective Session-based Recommendation within
  Consistent Representation Space
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Yupeng Hou
Binbin Hu
Qing Cui
Wayne Xin Zhao
80
100
0
23 Apr 2022
Decoupled Side Information Fusion for Sequential Recommendation
Decoupled Side Information Fusion for Sequential Recommendation
Yueqi Xie
Peilin Zhou
Sunghun Kim
85
113
0
23 Apr 2022
Learnable Model Augmentation Self-Supervised Learning for Sequential
  Recommendation
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Yongjing Hao
Pengpeng Zhao
Xuefeng Xian
Guanfeng Liu
Deqing Wang
Lei Zhao
Yanchi Liu
Victor S. Sheng
AI4TSLRMSSL
54
2
0
21 Apr 2022
FedCL: Federated Contrastive Learning for Privacy-Preserving
  Recommendation
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
Xing Xie
FedML
74
16
0
21 Apr 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yongqian Li
Weizhi Ma
C. L. Philip Chen
Hao Fei
Yiqun Liu
Shaoping Ma
Yue Yang
79
11
0
05 Apr 2022
ELECRec: Training Sequential Recommenders as Discriminators
ELECRec: Training Sequential Recommenders as Discriminators
Yong-Guang Chen
Jia Li
Caiming Xiong
58
16
0
05 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via
  Cross-Attention
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
Ahmed Rashed
Shereen Elsayed
Lars Schmidt-Thieme
36
64
0
04 Apr 2022
Decentralized Collaborative Learning Framework for Next POI
  Recommendation
Decentralized Collaborative Learning Framework for Next POI Recommendation
Jing Long
Tong Chen
Nguyen Quoc Viet Hung
Hongzhi Yin
88
63
0
30 Mar 2022
Improving Contrastive Learning with Model Augmentation
Improving Contrastive Learning with Model Augmentation
Zhiwei Liu
Yong-Guang Chen
Jia Li
Man Luo
Philip S. Yu
Caiming Xiong
40
11
0
25 Mar 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLMAI4TS
99
485
0
24 Mar 2022
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