ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.03912
  4. Cited By
Outer Product-based Neural Collaborative Filtering

Outer Product-based Neural Collaborative Filtering

12 August 2018
Xiangnan He
Xiaoyu Du
Xiang Wang
Feng Tian
Jinhui Tang
Tat-Seng Chua
ArXiv (abs)PDFHTMLGithub (139★)

Papers citing "Outer Product-based Neural Collaborative Filtering"

50 / 51 papers shown
Title
Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM
Explain What You Mean: Intent Augmented Knowledge Graph Recommender Built With An LLM
Wenqing Zheng
Noah Fatsi
Daniel Barcklow
Dmitri Kalaev
Steven Yao
Owen Reinert
C. Bayan Bruss
Daniele Rosa
43
0
0
16 May 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
93
0
0
26 Feb 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
143
6
0
02 Sep 2024
Multi-annotator Deep Learning: A Probabilistic Framework for
  Classification
Multi-annotator Deep Learning: A Probabilistic Framework for Classification
M. Herde
Denis Huseljic
Bernhard Sick
80
9
0
05 Apr 2023
InterMulti:Multi-view Multimodal Interactions with Text-dominated
  Hierarchical High-order Fusion for Emotion Analysis
InterMulti:Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis
Feng Qiu
Wanzeng Kong
Yu-qiong Ding
80
2
0
20 Dec 2022
EffMulti: Efficiently Modeling Complex Multimodal Interactions for
  Emotion Analysis
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis
Feng Qiu
Chengyang Xie
Yu-qiong Ding
Wanzeng Kong
48
1
0
16 Dec 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent
  Embeddings
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
48
6
0
25 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of
  Modern Recommender Systems
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Zhengbang Zhu
Rongjun Qin
Junjie Huang
Xinyi Dai
Yang Yu
Yong Yu
Weinan Zhang
74
2
0
11 Oct 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
77
9
0
30 Sep 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest
  Selection in CTR Prediction
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction
Tianwei Cao
Qianqian Xu
Zhiyong Yang
Qingming Huang
53
7
0
28 Jun 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
Poisoning Deep Learning Based Recommender Model in Federated Learning
  Scenarios
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong
Qinming He
Jianhai Chen
FedML
88
43
0
26 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAMLFedML
99
60
0
01 Apr 2022
Simultaneous Learning of the Inputs and Parameters in Neural
  Collaborative Filtering
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Ramin Raziperchikolaei
Young-joo Chung
54
2
0
14 Mar 2022
A Systematic Analysis on the Impact of Contextual Information on
  Point-of-Interest Recommendation
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation
Hossein A. Rahmani
Mohammad Aliannejadi
M. Baratchi
Fabio Crestani
51
24
0
20 Jan 2022
Recommendation Unlearning
Recommendation Unlearning
C. L. Philip Chen
Fei Sun
Hao Fei
Bolin Ding
MU
88
98
0
18 Jan 2022
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Sungwon Park
Sundong Kim
M. Cha
71
9
0
18 Jan 2022
Collaborative Reflection-Augmented Autoencoder Network for Recommender
  Systems
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
Lianghao Xia
Chao Huang
Yong-mei Xu
Huance Xu
Xiang Li
Weiguo Zhang
HAI
46
10
0
10 Jan 2022
Deep Exploration for Recommendation Systems
Deep Exploration for Recommendation Systems
Zheqing Zhu
Benjamin Van Roy
108
11
0
26 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
A Comprehensive Review on Non-Neural Networks Collaborative Filtering
  Recommendation Systems
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems
Carmel Wenga
Majirus Fansi
S. Chabrier
Jean-Martial Mari
A. Gabillon
53
2
0
20 Jun 2021
Learning Heterogeneous Temporal Patterns of User Preference for Timely
  Recommendation
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
Junsu Cho
Dongmin Hyun
SeongKu Kang
Hwanjo Yu
60
32
0
29 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
162
299
0
27 Apr 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
44
11
0
19 Apr 2021
Local Collaborative Autoencoders
Local Collaborative Autoencoders
Minjin Choi
Yoonki Jeong
Joonseok Lee
Jongwuk Lee
BDL
90
18
0
30 Mar 2021
Dual-embedding based Neural Collaborative Filtering for Recommender
  Systems
Dual-embedding based Neural Collaborative Filtering for Recommender Systems
Gongshan He
Dongxing Zhao
Li Ding
FedML
45
3
0
04 Feb 2021
Generate Natural Language Explanations for Recommendation
Generate Natural Language Explanations for Recommendation
H. Chen
Xu Chen
Shaoyun Shi
Yongfeng Zhang
LRM
77
60
0
09 Jan 2021
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph
  Neural Networks
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks
Bojing Feng
Haonan Xu
Wenfang Xue
Bindang Xue
GNN
43
12
0
27 Nov 2020
Heterogeneous Graph Collaborative Filtering
Heterogeneous Graph Collaborative Filtering
Zekun Li
Yujia Zheng
Shu Wu
Xiaoyu Zhang
Liang Wang
27
6
0
13 Nov 2020
Critically Examining the Claimed Value of Convolutions over User-Item
  Embedding Maps for Recommender Systems
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Maurizio Ferrari Dacrema
Federico Parroni
Paolo Cremonesi
Dietmar Jannach
68
17
0
23 Jul 2020
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu
Zheng Qin
NoLa
74
51
0
28 Jun 2020
Convolutional Gaussian Embeddings for Personalized Recommendation with
  Uncertainty
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyan Jiang
Deqing Yang
Yanghua Xiao
Chenlu Shen
83
26
0
19 Jun 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Steffen Rendle
Walid Krichene
Li Zhang
John R. Anderson
72
423
0
19 May 2020
A Troubling Analysis of Reproducibility and Progress in Recommender
  Systems Research
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
85
199
0
18 Nov 2019
Collaborative Distillation for Top-N Recommendation
Collaborative Distillation for Top-N Recommendation
Jae-woong Lee
Minjin Choi
Jongwuk Lee
Hyunjung Shim
76
51
0
13 Nov 2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative
  Relation Modeling
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Jiarui Qin
Kan Ren
Yuchen Fang
Weinan Zhang
Yong Yu
65
40
0
10 Nov 2019
Meta Matrix Factorization for Federated Rating Predictions
Meta Matrix Factorization for Federated Rating Predictions
Yujie Lin
Fajie Yuan
Zhumin Chen
Zhaochun Ren
Dongxiao Yu
Jun Ma
Maarten de Rijke
Xiuzhen Cheng
111
121
0
22 Oct 2019
Learning to Recommend from Sparse Data via Generative User Feedback
Learning to Recommend from Sparse Data via Generative User Feedback
Wenlin Wang
Hongteng Xu
Ruiyi Zhang
Wenqi Wang
Piyush Rai
Lawrence Carin
27
0
0
21 Oct 2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for
  Sparse and Imbalanced Count Data
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Yuan Jin
Ming Liu
Yunfeng Li
Ruohua Xu
Lan Du
Longxiang Gao
Yong Xiang
31
5
0
12 Oct 2019
Deep Collaborative Filtering with Multi-Aspect Information in
  Heterogeneous Networks
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
C. Shi
Xiaotian Han
Li Song
Tianlin Li
Senzhang Wang
Junping Du
Philip S. Yu
139
100
0
14 Sep 2019
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan
Shuo Cheng
Wang-Cheng Kang
Mengting Wan
Julian McAuley
3DVHAI
55
124
0
27 Aug 2019
Efficient Neural Interaction Function Search for Collaborative Filtering
Efficient Neural Interaction Function Search for Collaborative Filtering
Quanming Yao
Xiangning Chen
James T. Kwok
Yong Li
Cho-Jui Hsieh
86
44
0
28 Jun 2019
Modeling Embedding Dimension Correlations via Convolutional Neural
  Collaborative Filtering
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
Xiaoyu Du
Xiangnan He
Fajie Yuan
Jinhui Tang
Zhiguang Qin
Tat-Seng Chua
HAI
40
26
0
26 Jun 2019
Towards Amortized Ranking-Critical Training for Collaborative Filtering
Towards Amortized Ranking-Critical Training for Collaborative Filtering
Sam Lobel
Chunyuan Li
Jianfeng Gao
Lawrence Carin
52
15
0
10 Jun 2019
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via
  Transferring Rating Patterns
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan
Lina Yao
B. Benatallah
87
173
0
26 May 2019
Spectrum-enhanced Pairwise Learning to Rank
Spectrum-enhanced Pairwise Learning to Rank
Wenhui Yu
Zheng Qin
59
17
0
02 May 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge
  Graph
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma
Min Zhang
Yue Cao
Woojeong Jin
Jin
Chenyang Wang
Yiqun Liu
Shaoping Ma
Xiang Ren
74
220
0
09 Mar 2019
DeepCF: A Unified Framework of Representation Learning and Matching
  Function Learning in Recommender System
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng
Ling Huang
Changdong Wang
Jianhuang Lai
Philip S. Yu
51
160
0
15 Jan 2019
Fast Matrix Factorization with Non-Uniform Weights on Missing Data
Fast Matrix Factorization with Non-Uniform Weights on Missing Data
Xiangnan He
Jinhui Tang
Xiaoyu Du
Richang Hong
Tongwei Ren
Tat-Seng Chua
89
66
0
11 Nov 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for
  Recommender Systems
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran
Yi Tay
Shuai Zhang
Gao Cong
Xiaoli Li
100
124
0
05 Sep 2018
12
Next