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2009.03376
Cited By
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Neural Information Processing Systems (NeurIPS), 2020
7 September 2020
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
Re-assign community
ArXiv (abs)
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Papers citing
"Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
35 / 35 papers shown
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
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312
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Large language model as user daily behavior data generator: balancing population diversity and individual personality
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Jiahui Gong
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SyDa
281
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BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
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Jingtao Ding
Fanjin Meng
Chen Yang
Hong Chen
Zuojian Wang
Haisheng Lu
Yong Li
240
1
0
23 May 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu
Dan Zhang
Chao Zhou
Liangwei Yang
Tianyu Lin
Jibing Gong
225
0
0
24 Mar 2025
Variational Bayesian Personalized Ranking
Bin Liu
Xiaohong Liu
Q. Luo
Ziqiao Shang
Jielei Chu
Lin Ma
Zhaoyu Li
Fei Teng
Guoquan Zheng
Tianrui Li
404
0
0
14 Mar 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Industrial Conference on Data Mining (IDM), 2022
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
296
4
0
12 Feb 2025
End-to-end Training for Recommendation with Language-based User Profiles
Zhaolin Gao
Joyce Zhou
Yijia Dai
Thorsten Joachims
AI4Ed
490
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0
24 Oct 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
ACM Conference on Recommender Systems (RecSys), 2024
Gleb Mezentsev
Danil I. Gusak
Ivan Oseledets
Evgeny Frolov
298
18
0
27 Sep 2024
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
Tianrui Song
Wenshuo Chao
Hao Liu
275
9
0
16 Sep 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
279
17
0
11 Sep 2024
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
International Conference on Information and Knowledge Management (CIKM), 2024
Danil I. Gusak
Gleb Mezentsev
Ivan Oseledets
Evgeny Frolov
424
11
0
05 Aug 2024
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
289
0
0
01 Aug 2024
Curriculum Negative Mining For Temporal Networks
Ziyue Chen
Tongya Zheng
Mingli Song
281
4
0
24 Jul 2024
A Comprehensive Survey on Retrieval Methods in Recommender Systems
Junjie Huang
Jizheng Chen
Jianghao Lin
J. Qin
Ziming Feng
Weinan Zhang
Yong Yu
270
30
0
11 Jul 2024
Double Correction Framework for Denoising Recommendation
Knowledge Discovery and Data Mining (KDD), 2024
Zhuangzhuang He
Yifan Wang
Yonghui Yang
Peijie Sun
Le Wu
Haoyue Bai
Jinqi Gong
Richang Hong
Min Zhang
310
50
0
18 May 2024
Diffusion-based Negative Sampling on Graphs for Link Prediction
Trung-Kien Nguyen
Yuan Fang
DiffM
186
25
0
25 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
356
40
0
27 Feb 2024
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)
Dong Li
Ruoming Jin
Bin Ren
277
6
0
13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)
Ruoming Jin
Dong Li
275
0
0
13 Dec 2023
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops
Hangtong Xu
Yuanbo Xu
Yongjian Yang
Fuzhen Zhuang
Hui Xiong
229
2
0
10 Nov 2023
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Hao Zhang
Mingyue Cheng
Qi Liu
Ziqiang Liu
AI4TS
705
5
0
01 Nov 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
306
18
0
11 Aug 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
International Conference on Information and Knowledge Management (CIKM), 2023
Xi Wu
Liangwei Yang
Jibing Gong
Chao Zhou
Tianyu Lin
Xiao-lin Liu
Philip S. Yu
233
13
0
28 Jun 2023
Neighborhood-based Hard Negative Mining for Sequential Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
300
19
0
12 Jun 2023
Representer Point Selection for Explaining Regularized High-dimensional Models
International Conference on Machine Learning (ICML), 2023
Che-Ping Tsai
Jiong Zhang
Eli Chien
Hsiang-Fu Yu
Cho-Jui Hsieh
Pradeep Ravikumar
227
5
0
31 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Knowledge Discovery and Data Mining (KDD), 2023
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
258
3
0
25 May 2023
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
Yueqing Xuan
Kacper Sokol
Mark Sanderson
Jeffrey Chan
226
0
0
15 Apr 2023
Distillation from Heterogeneous Models for Top-K Recommendation
The Web Conference (WWW), 2023
SeongKu Kang
Wonbin Kweon
Dongha Lee
Jianxun Lian
Xing Xie
Hwanjo Yu
VLM
215
35
0
02 Mar 2023
On the Theories Behind Hard Negative Sampling for Recommendation
The Web Conference (WWW), 2023
Wentao Shi
Jiawei Chen
Fuli Feng
Jizhi Zhang
Junkang Wu
Chongming Gao
Xiangnan He
BDL
459
64
0
07 Feb 2023
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
ACM Conference on Recommender Systems (RecSys), 2022
Ramin Raziperchikolaei
Young-joo Chung
152
0
0
31 Aug 2022
Bayesian Negative Sampling for Recommendation
IEEE International Conference on Data Engineering (ICDE), 2022
B. Liu
Bang-wei Wang
BDL
340
12
0
02 Apr 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
The Web Conference (WWW), 2022
SeongKu Kang
Dongha Lee
Wonbin Kweon
Junyoung Hwang
Hwanjo Yu
260
16
0
26 Feb 2022
Learning Explicit User Interest Boundary for Recommendation
The Web Conference (WWW), 2021
Jianhuan Zhuo
Qiannan Zhu
Yinliang Yue
Yuhong Zhao
259
24
0
22 Nov 2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Sean Bin Yang
Chenjuan Guo
Jilin Hu
Jiangtao Tang
Bin Yang
SSL
257
66
0
17 Jun 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
247
0
0
11 May 2021
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