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On Sampling Strategies for Neural Network-based Collaborative Filtering

On Sampling Strategies for Neural Network-based Collaborative Filtering

23 June 2017
Ting-Li Chen
Yizhou Sun
Yue Shi
Liangjie Hong
ArXiv (abs)PDFHTML

Papers citing "On Sampling Strategies for Neural Network-based Collaborative Filtering"

47 / 47 papers shown
Title
Learning from Noisy Labels with Contrastive Co-Transformer
Yan Han
S. Roy
Mehrtash Harandi
L. Petersson
NoLa
104
0
0
04 Mar 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
Haibo Xing
Kanefumi Matsuyama
Hao Deng
Jinxin Hu
Yu Zhang
Xiaoyi Zeng
77
0
0
22 Feb 2025
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
Renqi Jia
Xiaokun Zhang
Bowei He
Qiannan Zhu
Weitao Xu
Jiehao Chen
Chen Ma
TDI
113
1
0
12 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
121
3
0
12 Feb 2025
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
Berke Ugurlu
Ming-Yi Hong
Che Lin
68
0
0
17 Jan 2025
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
135
6
0
02 Sep 2024
Towards Ontology-Enhanced Representation Learning for Large Language
  Models
Towards Ontology-Enhanced Representation Learning for Large Language Models
Francesco Ronzano
Jay Nanavati
67
5
0
30 May 2024
RankCSE: Unsupervised Sentence Representations Learning via Learning to
  Rank
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank
Jiduan Liu
Jiahao Liu
Qifan Wang
Jingang Wang
Wei Wu
Yunsen Xian
Dongyan Zhao
Kai Chen
Rui Yan
SSL
97
38
0
26 May 2023
Sentence-Level Relation Extraction via Contrastive Learning with
  Descriptive Relation Prompts
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts
Jiewen Zheng
Ze Chen
68
2
0
11 Apr 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural
  Networks
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
AILaw
115
9
0
30 Jan 2023
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its
  Applications
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
Zihao Chen
H. Handa
Kimiaki Shirahama
61
2
0
19 Jan 2023
Cross-Platform and Cross-Domain Abusive Language Detection with
  Supervised Contrastive Learning
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning
Md. Tawkat Islam Khondaker
Muhammad Abdul-Mageed
L. Lakshmanan
37
1
0
11 Nov 2022
DialogConv: A Lightweight Fully Convolutional Network for Multi-view
  Response Selection
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Yongkang Liu
Shi Feng
Wei Gao
Daling Wang
Yifei Zhang
57
4
0
25 Oct 2022
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Md. Tawkat Islam Khondaker
El Moatez Billah Nagoudi
AbdelRahim Elmadany
Muhammad Abdul-Mageed
L. Lakshmanan
86
4
0
22 Oct 2022
Fine-grained Category Discovery under Coarse-grained supervision with
  Hierarchical Weighted Self-contrastive Learning
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Wenbin An
Feng Tian
Ping Chen
Siliang Tang
Qinghua Zheng
Qianying Wang
84
17
0
14 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
133
10
0
27 Sep 2022
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain
  Contrastive Learning
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning
Li-Huan Du
Guohao Lan
68
4
0
14 Sep 2022
Don't Judge a Language Model by Its Last Layer: Contrastive Learning
  with Layer-Wise Attention Pooling
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Dongsuk Oh
Yejin Kim
Hodong Lee
Huimin Huang
Heu-Jeoung Lim
85
10
0
13 Sep 2022
Rethinking Collaborative Metric Learning: Toward an Efficient
  Alternative without Negative Sampling
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
Shilong Bao
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
64
14
0
23 Jun 2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language
  Understanding and Generation
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
111
27
0
30 May 2022
Improving Contextual Representation with Gloss Regularized Pre-training
Improving Contextual Representation with Gloss Regularized Pre-training
Yu Lin
Zhecheng An
Peihao Wu
Zejun Ma
78
5
0
13 May 2022
Bayesian Negative Sampling for Recommendation
Bayesian Negative Sampling for Recommendation
B. Liu
Bang-wei Wang
BDL
69
9
0
02 Apr 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential
  Recommendation
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen
Dongsheng Li
Junchi Yan
Xiaokang Yang
38
16
0
02 Apr 2022
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models
  Robust with Little Cost
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
Lihu Chen
Gaël Varoquaux
Fabian M. Suchanek
75
15
0
15 Mar 2022
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph
  Embeddings
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings
Md. Rony
Mirza Mohtashim Alam
Semab Ali
Jens Lehmann
S. Vahdati
66
2
0
09 Mar 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data
  Augmentation
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
86
297
0
07 Feb 2022
On Sampling Collaborative Filtering Datasets
On Sampling Collaborative Filtering Datasets
Noveen Sachdeva
Carole-Jean Wu
Julian McAuley
78
16
0
13 Jan 2022
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard
Mathilde Caron
Lucas Hosseini
Sebastian Riedel
Piotr Bojanowski
Armand Joulin
Edouard Grave
RALM
271
928
0
16 Dec 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLMCLIP
312
104
0
21 Oct 2021
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Anton Chernyavskiy
Dmitry Ilvovsky
Pavel Kalinin
Preslav Nakov
65
8
0
10 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
121
25
0
20 Sep 2021
Self-supervised Product Quantization for Deep Unsupervised Image
  Retrieval
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
Young Kyun Jang
N. Cho
MQ
63
67
0
06 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation
Multi-Sample based Contrastive Loss for Top-k Recommendation
Hao Tang
Guoshuai Zhao
Yuxia Wu
Xueming Qian
92
33
0
01 Sep 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output
  Spaces
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
A. S. Rawat
A. Menon
Wittawat Jitkrittum
Sadeep Jayasumana
Felix X. Yu
Sashank J. Reddi
Sanjiv Kumar
62
9
0
12 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILawSSL
303
3,442
0
18 Apr 2021
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
74
100
0
07 Sep 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
93
53
0
15 Jul 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
211
1,645
0
15 Jun 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
156
148
0
20 May 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
182
123
0
26 Mar 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang
Yaokun Xu
Xiangnan He
Yixin Cao
Meng Wang
Tat-Seng Chua
OffRL
70
185
0
12 Mar 2020
Recommender Systems Based on Generative Adversarial Networks: A
  Problem-Driven Perspective
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
Min Gao
Junwei Zhang
Junliang Yu
Jundong Li
Junhao Wen
Qingyu Xiong
79
62
0
05 Mar 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with
  Implicit Feedback
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Jiawei Chen
Can Wang
Sheng Zhou
Qihao Shi
Jingbang Chen
Yan Feng
Chun-Yen Chen
OffRL
100
59
0
04 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
428
18,968
0
13 Feb 2020
A Neural Attention Model for Adaptive Learning of Social Friends'
  Preferences
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences
Dimitrios Rafailidis
Gerhard Weiss
GNNFedML
45
2
0
29 Jun 2019
Leveraging Trust and Distrust in Recommender Systems via Deep Learning
Leveraging Trust and Distrust in Recommender Systems via Deep Learning
Dimitrios Rafailidis
FedML
20
0
0
31 May 2019
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for
  Cross-lingual Entity Alignment
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
Muhao Chen
Yingtao Tian
Kai-Wei Chang
Steven Skiena
C. Zaniolo
71
241
0
18 Jun 2018
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