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Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
20 May 2020
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
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Papers citing
"Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems"
39 / 39 papers shown
On Negative-aware Preference Optimization for Recommendation
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Daoxuan Liu
Jiancan Wu
Xingyu Hu
Junkang Wu
Haitao Wang
Yongkang Wang
Xingxing Wang
Xiang Wang
159
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0
13 Aug 2025
AliBoost: Ecological Boosting Framework in Alibaba Platform
Zuobin Ying
Zhiqing Li
Zihong Huang
J. Zhu
Keqin Xu
...
Jiawei Tang
Yuning Jiang
Feiran Huang
Xiao Shi Huang
Hao Chen
167
3
0
01 Jun 2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
Klaudia Balcer
Piotr Lipinski
244
0
0
14 Apr 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu
Dan Zhang
Chao Zhou
Liangwei Yang
Tianyu Lin
Jibing Gong
224
0
0
24 Mar 2025
FairUDT: Fairness-aware Uplift Decision Trees
Knowledge-Based Systems (KBS), 2025
Anam Zahid
Abdur Rehman Ali
Shaina Raza
Rai Shahnawaz
F. Kamiran
Asim Karim
425
0
0
03 Feb 2025
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
International Conference on Information and Knowledge Management (CIKM), 2024
H. Chung
Jungtaek Kim
Hyungeun Jo
Hyungwon Choi
286
0
0
01 Aug 2024
A Comprehensive Survey on Retrieval Methods in Recommender Systems
Junjie Huang
Jizheng Chen
Jianghao Lin
J. Qin
Ziming Feng
Weinan Zhang
Yong Yu
260
28
0
11 Jul 2024
General Item Representation Learning for Cold-start Content Recommendations
Jooeun Kim
Jinri Kim
Kwangeun Yeo
Eungi Kim
Kyoung-Woon On
Jonghwan Mun
Joonseok Lee
VLM
225
4
0
22 Apr 2024
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Jiaheng Yu
Jing Li
Yue He
Kai Zhu
Shuyi Zhang
Wen Hu
243
0
0
22 Mar 2024
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization
Shitong Duan
Xiaoyuan Yi
Peng Zhang
Tun Lu
Xing Xie
Ning Gu
196
6
0
06 Mar 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
Science China Information Sciences (Sci. China Inf. Sci.), 2024
Wei Ju
Yiyang Gu
Zhengyan Mao
Ziyue Qiao
Yifang Qin
Xiao Luo
Hui Xiong
Ming Zhang
SSL
209
29
0
29 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation
Dan Zhang
Yangliao Geng
Wenwen Gong
Chen Ma
Zhiyu Chen
Xing Tang
Ying Shan
Yuxiao Dong
Jie Tang
309
60
0
28 Jan 2024
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Huy Hoang
Tien Mai
Pradeep Varakantham
369
8
0
16 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)
Dong Li
Ruoming Jin
Bin Ren
270
6
0
13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)
Ruoming Jin
Dong Li
265
0
0
13 Dec 2023
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
Yaning Tan
Mingli Zhu
Aishan Liu
Baoyuan Wu
Xiaochun Cao
Ee-Chien Chang
649
110
0
20 Nov 2023
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
The Web Conference (WWW), 2023
Hyunsik Jeon
Jong-eun Lee
Jeongin Yun
U. Kang
266
18
0
05 Oct 2023
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
Pavan Seshadri
Peter Knees
252
6
0
20 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Laixin Xie
Ouyang Yang
Long-fei Chen
Ziming Wu
Quan Li
271
2
0
18 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Zhihao Hu
Yiran Xu
Mengnan Du
Jindong Gu
Xinmei Tian
Fengxiang He
410
2
0
15 Sep 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering
International Conference on Information and Knowledge Management (CIKM), 2023
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
291
18
0
11 Aug 2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
IEEE International Conference on Data Engineering (ICDE), 2023
Qifang Zhao
Tianyu Li
Meng Du
Yu-lin Jiang
Qinghui Sun
Zhongyao Wang
Hong Liu
Huan Xu
187
2
0
19 Jul 2023
Towards Assumption-free Bias Mitigation
Chia-Yuan Chang
Yu-Neng Chuang
Kwei-Herng Lai
Xiaotian Han
Helen Zhou
Na Zou
228
4
0
09 Jul 2023
Recent Developments in Recommender Systems: A Survey
IEEE Computational Intelligence Magazine (IEEE CIM), 2023
Yang Li
Kangbo Liu
Frank Xing
Suhang Wang
Erik Cambria
OffRL
291
82
0
22 Jun 2023
Revisiting Neural Retrieval on Accelerators
Knowledge Discovery and Data Mining (KDD), 2023
Jiaqi Zhai
Zhaojie Gong
Yueming Wang
Xiao Sun
Zheng Yan
Fu Li
Xing Liu
312
20
0
06 Jun 2023
A Survey on Fairness-aware Recommender Systems
Information Fusion (Inf. Fusion), 2023
Di Jin
Luzhi Wang
He Zhang
Yizhen Zheng
Weiping Ding
Feng Xia
Shirui Pan
FaML
342
72
0
01 Jun 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
International Conference on Machine Learning (ICML), 2023
Philipp Seidl
Andreu Vall
Sepp Hochreiter
Günter Klambauer
362
67
0
06 Mar 2023
Adap-
τ
τ
τ
: Adaptively Modulating Embedding Magnitude for Recommendation
The Web Conference (WWW), 2023
Jiawei Chen
Junkang Wu
Jiancan Wu
Sheng Zhou
Xuezhi Cao
Xiangnan He
385
47
0
09 Feb 2023
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal
Yashoteja Prabhu
Emre Kıcıman
Amit Sharma
CML
OOD
286
1
0
07 Oct 2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
International Conference on Information and Knowledge Management (CIKM), 2022
Yuanliang Zhang
Xiaofeng Wang
Jinxin Hu
Ke Gao
Chenyi Lei
Fei Fang
190
26
0
24 Aug 2022
Generating Negative Samples for Sequential Recommendation
Yong-Guang Chen
Jia Li
Zhiwei Liu
N. Keskar
Haiquan Wang
Julian McAuley
Caiming Xiong
172
5
0
07 Aug 2022
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
ACM Conference on Recommender Systems (RecSys), 2022
Aleksandr V. Petrov
Craig Macdonald
290
70
0
15 Jul 2022
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
263
3
0
14 Jul 2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
An Yan
Zhankui He
Jiacheng Li
Tianyang Zhang
Julian McAuley
301
63
0
30 Jun 2022
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design
Lucian Chan
Rajendra Kumar
M. Verdonk
C. Poelking
DiffM
AI4CE
187
2
0
22 Apr 2022
Cross-domain User Preference Learning for Cold-start Recommendation
Huiling Zhou
Jie Liu
Zhikang Li
Jin Yu
Hongxia Yang
214
2
0
07 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
386
39
0
04 Nov 2021
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev
Ivan Kireev
Nikita Ovsov
Maria Ivanova
Gleb Gusev
Ivan Nazarov
Alexander Tuzhilin
SSL
AI4TS
286
43
0
19 Feb 2020
Billion-scale similarity search with GPUs
IEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
1.3K
4,945
0
28 Feb 2017
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