Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

20 May 2020

Chang Zhou

Jianxin Ma

Jianwei Zhang

Jingren Zhou

Hongxia Yang

ArXiv PDF HTML

Papers citing "Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems"

36 / 36 papers shown

Title
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 34 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 49 0 0 24 Mar 2025
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 78 0 0 03 Feb 2025
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 44 0 0 01 Aug 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 27 1 0 22 Apr 2024
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation Jiaheng Yu Jing Li Yue He Kai Zhu Shuyi Zhang Wen Hu 14 0 0 22 Mar 2024
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization Shitong Duan Xiaoyuan Yi Peng Zhang T. Lu Xing Xie Ning Gu 40 4 0 06 Mar 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 36 8 0 29 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation Dan Zhang Yangliao Geng Wenwen Gong Zhongang Qi Zhiyu Chen Xing Tang Ying Shan Yuxiao Dong Jie Tang 37 24 0 28 Jan 2024
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning Huy Hoang Tien Mai Pradeep Varakantham 26 7 0 16 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 23 4 0 13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report) Ruoming Jin Dong Li 29 0 0 13 Dec 2023
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning Siyuan Liang Mingli Zhu Aishan Liu Baoyuan Wu Xiaochun Cao Ee-Chien Chang 32 50 0 20 Nov 2023
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating Hyunsik Jeon Jong-eun Lee Jeongin Yun U. Kang 19 7 0 05 Oct 2023
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation Pavan Seshadri Peter Knees 20 5 0 20 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 18 0 0 18 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 33 1 0 15 Sep 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 29 14 0 11 Aug 2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing Qifang Zhao Tianyu Li Meng Du Yu-lin Jiang Qinghui Sun Zhongyao Wang Hong Liu Huan Xu 21 1 0 19 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Xia Hu Na Zou 29 4 0 09 Jul 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 71 31 0 22 Jun 2023
Revisiting Neural Retrieval on Accelerators Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li Xing Liu 13 9 0 06 Jun 2023
A Survey on Fairness-aware Recommender Systems Di Jin Luzhi Wang He Zhang Yizhen Zheng Weiping Ding Feng Xia Shirui Pan FaML 25 41 0 01 Jun 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language Philipp Seidl Andreu Vall Sepp Hochreiter G. Klambauer 65 37 0 06 Mar 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 33 30 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 33 0 0 07 Oct 2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation Yuanliang Zhang Xiaofeng Wang Jinxin Hu Ke Gao Chenyi Lei Fei Fang 11 18 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 28 4 0 07 Aug 2022
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation Aleksandr V. Petrov Craig Macdonald 25 45 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 44 1 0 14 Jul 2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations An Yan Zhankui He Jiacheng Li Tianyang Zhang Julian McAuley 33 35 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 19 2 0 22 Apr 2022
Cross-domain User Preference Learning for Cold-start Recommendation Huiling Zhou Jie Liu Zhikang Li Jin Yu Hongxia Yang 27 0 0 07 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 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 17 26 0 19 Feb 2020
Deep Cosine Metric Learning for Person Re-Identification N. Wojke Alex Bewley 33 352 0 02 Dec 2018