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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
ArXivPDFHTML

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

50 / 77 papers shown
Title
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen-li Ma
Fenglong Ma
0
0
0
18 May 2025
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Jiacheng Li
Yangtao Zhou
Zhifu Zhao
Qinglan Huang
Jian Qi
Xiao He
Hua Chu
Fu Li
DiffM
MedIm
58
0
0
12 May 2025
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
Yuqin Lan
31
0
0
10 May 2025
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
Zheng Chai
Qin Ren
Xijun Xiao
H. Yang
Bo Han
...
Xiang Sun
Yaocheng Tan
Peng Xu
Yuchao Zheng
Di Wu
46
0
0
07 May 2025
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Zhikai Wang
Yanyan Shen
Zexi Zhang
Li He
Yichun Li
Hao Gu
Yinghua Zhang
57
0
0
27 Apr 2025
Slow Thinking for Sequential Recommendation
Slow Thinking for Sequential Recommendation
Junjie Zhang
Beichen Zhang
Wenqi Sun
Hongyu Lu
Wayne Xin Zhao
Yu Chen
Ji-Rong Wen
OffRL
LRM
39
0
0
13 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng
Enze Liu
Z. Chen
Zhongrui Ma
Yue Wang
Wayne Xin Zhao
Ji-Rong Wen
38
0
0
06 Apr 2025
Universal Item Tokenization for Transferable Generative Recommendation
Universal Item Tokenization for Transferable Generative Recommendation
Bowen Zheng
Hongyu Lu
Yu Chen
Wayne Xin Zhao
Ji-Rong Wen
33
0
0
06 Apr 2025
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
Sheng Lu
Mingxi Ge
Jiuyi Zhang
Wanli Zhu
Guanjin Li
Fangming Gu
AI4TS
58
0
0
30 Mar 2025
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Kowei Shih
Yi Han
Li Tan
39
0
0
23 Mar 2025
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
Ziqiang Cui
Yunpeng Weng
Xing Tang
Xiaokun Zhang
Dugang Liu
...
Peiyang Liu
Bowei He
Weihong Luo
Xiuqiang He
Chen Ma
AI4TS
85
0
0
06 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
71
0
0
05 Mar 2025
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
Zuoli Tang
Zhaoxin Huan
Zihao Li
Xiaolu Zhang
Jun Hu
Chilin Fu
Jun Zhou
Lixin Zou
Chenliang Li
61
15
0
20 Feb 2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
Yongchun Zhu
Jingwu Chen
Ling Chen
Yongqian Li
Feng Zhang
Xiao Yang
Zuotao Liu
44
0
0
28 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
36
0
0
31 Dec 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation
GOT4Rec: Graph of Thoughts for Sequential Recommendation
Zewen Long
Liang Wang
Shu Wu
Qiang Liu
Liang Wang
100
1
0
22 Nov 2024
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Mingrui Liu
Sixiao Zhang
Cheng Long
33
0
0
03 Nov 2024
Modeling Temporal Positive and Negative Excitation for Sequential
  Recommendation
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
Chengkai Huang
Shoujin Wang
Xianzhi Wang
Lina Yao
64
7
0
29 Oct 2024
Dual Conditional Diffusion Models for Sequential Recommendation
Dual Conditional Diffusion Models for Sequential Recommendation
Hongtao Huang
Chengkai Huang
Xiaojun Chang
Wen Hu
Lina Yao
Julian McAuley
Lina Yao
DiffM
47
2
0
29 Oct 2024
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
57
1
0
17 Oct 2024
Sequential LLM Framework for Fashion Recommendation
Sequential LLM Framework for Fashion Recommendation
Han Liu
Xianfeng Tang
Tianlang Chen
Jiapeng Liu
Indu Indu
...
Roberto Fernandez Galan
Michael D Porter
Dongmei Jia
Ning Zhang
Lian Xiong
AI4TS
35
1
0
15 Oct 2024
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
Liam Hebert
Marialena Kyriakidi
Hubert Pham
Krishna Sayana
James Pine
Sukhdeep S. Sodhi
Ambarish Jash
VLM
56
4
0
18 Sep 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
41
0
0
01 Aug 2024
RecGPT: Generative Pre-training for Text-based Recommendation
RecGPT: Generative Pre-training for Text-based Recommendation
Hoang Ngo
Dat Quoc Nguyen
LRM
42
5
0
21 May 2024
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
Alejo López-Ávila
Jinhua Du
Abbas Shimary
Ze Li
38
1
0
16 May 2024
When factorization meets argumentation: towards argumentative
  explanations
When factorization meets argumentation: towards argumentative explanations
Jinfeng Zhong
E. Negre
FAtt
21
0
0
13 May 2024
Knowledge Adaptation from Large Language Model to Recommendation for
  Practical Industrial Application
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia
Yipei Wang
Yan Li
Honggang Chen
Xuehan Bai
...
Jian Liang
Quan Chen
Han Li
Peng Jiang
Kun Gai
KELM
43
7
0
07 May 2024
Contrastive Learning Method for Sequential Recommendation based on
  Multi-Intention Disentanglement
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
Zeyu Hu
Yuzhi Xiao
Tao Huang
Xuanrong Huo
DRL
39
0
0
28 Apr 2024
RecGPT: Generative Personalized Prompts for Sequential Recommendation
  via ChatGPT Training Paradigm
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
Yabin Zhang
Wenhui Yu
Erhan Zhang
Xu Chen
Lantao Hu
Peng Jiang
Kun Gai
LRM
42
8
0
06 Apr 2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain
  Recommendation
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang
Lei Sang
Quangui Zhang
Qiang Wu
Min Xu
40
3
0
06 Mar 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
70
4
0
02 Feb 2024
EfficientRec an unlimited user-item scale recommendation system based on
  clustering and users interaction embedding profile
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
Vu Hong Quan
Le Hoang Ngan
Le Minh Duc
Nguyen Tran Ngoc Linh
Hoang-Quynh Le
13
0
0
18 Jan 2024
On the Effectiveness of Unlearning in Session-Based Recommendation
On the Effectiveness of Unlearning in Session-Based Recommendation
Xin Xin
Liu Yang
Ziqi Zhao
Pengjie Ren
Zhumin Chen
Jun Ma
Zhaochun Ren
MU
32
2
0
22 Dec 2023
Generative Pretraining at Scale: Transformer-Based Encoding of
  Transactional Behavior for Fraud Detection
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection
Zewen Zhao
Zheng Zhu
Guilin Li
Wenhan Wang
Boyuan Wang
6
1
0
22 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
34
7
0
30 Nov 2023
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
Jia Li
Yanyan Shen
Lei Chen
Charles Wang Wai Ng
22
3
0
27 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based
  Recommendation
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
21
12
0
06 Nov 2023
Diffusion Augmentation for Sequential Recommendation
Diffusion Augmentation for Sequential Recommendation
Qidong Liu
Fan Yan
Xiangyu Zhao
Zhaochen Du
Huifeng Guo
Ruiming Tang
Feng Tian
24
36
0
22 Sep 2023
RecMind: Large Language Model Powered Agent For Recommendation
RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang
Ziyan Jiang
Zheng Chen
Fan Yang
Yingxue Zhou
Eunah Cho
Xing Fan
Xiaojiang Huang
Yanbin Lu
Yingzhen Yang
LLMAG
LM&Ro
LRM
39
85
0
28 Aug 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation
Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chunzhen Huang
27
88
0
06 Jul 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
Attention Weighted Mixture of Experts with Contrastive Learning for
  Personalized Ranking in E-commerce
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Juan Gong
Zhe Chen
Chao Ma
Zhuojian Xiao
Hong Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yunjiang Jiang
16
4
0
08 Jun 2023
Robust Reinforcement Learning Objectives for Sequential Recommender
  Systems
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
Melissa Mozifian
Tristan Sylvain
David E. Evans
Li Meng
OffRL
23
0
0
30 May 2023
VIP5: Towards Multimodal Foundation Models for Recommendation
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng
Juntao Tan
Shuchang Liu
Zuohui Fu
Yongfeng Zhang
29
69
0
23 May 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
36
24
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
20
10
0
28 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
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
24
66
0
13 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
21
47
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 V. Oseledets
10
6
0
12 Dec 2022
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