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1808.03912
Cited By
Outer Product-based Neural Collaborative Filtering
12 August 2018
Xiangnan He
Xiaoyu Du
Xiang Wang
Feng Tian
Jinhui Tang
Tat-Seng Chua
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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
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Noah Fatsi
Daniel Barcklow
Dmitri Kalaev
Steven Yao
Owen Reinert
C. Bayan Bruss
Daniele Rosa
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0
16 May 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
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0
26 Feb 2025
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
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
Feng Qiu
Wanzeng Kong
Yu-qiong Ding
80
2
0
20 Dec 2022
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis
Feng Qiu
Chengyang Xie
Yu-qiong Ding
Wanzeng Kong
51
1
0
16 Dec 2022
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
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
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
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
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
Dazhong Rong
Qinming He
Jianhai Chen
FedML
88
43
0
26 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAML
FedML
99
60
0
01 Apr 2022
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
Hossein A. Rahmani
Mohammad Aliannejadi
M. Baratchi
Fabio Crestani
51
24
0
20 Jan 2022
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
Sungwon Park
Sundong Kim
M. Cha
71
9
0
18 Jan 2022
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
Zheqing Zhu
Benjamin Van Roy
108
11
0
26 Sep 2021
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
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
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
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
Dimitrios Iliadis
B. De Baets
Willem Waegeman
44
11
0
19 Apr 2021
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
Gongshan He
Dongxing Zhao
Li Ding
FedML
45
3
0
04 Feb 2021
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
Bojing Feng
Haonan Xu
Wenfang Xue
Bindang Xue
GNN
43
12
0
27 Nov 2020
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
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
Wenhui Yu
Zheng Qin
NoLa
74
51
0
28 Jun 2020
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
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
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
85
199
0
18 Nov 2019
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
Jiarui Qin
Kan Ren
Yuchen Fang
Weinan Zhang
Yong Yu
65
40
0
10 Nov 2019
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
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
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
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
An Yan
Shuo Cheng
Wang-Cheng Kang
Mengting Wan
Julian McAuley
3DV
HAI
55
124
0
27 Aug 2019
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
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
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
Feng Yuan
Lina Yao
B. Benatallah
87
173
0
26 May 2019
Spectrum-enhanced Pairwise Learning to Rank
Wenhui Yu
Zheng Qin
65
17
0
02 May 2019
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
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
Xiangnan He
Jinhui Tang
Xiaoyu Du
Richang Hong
Tongwei Ren
Tat-Seng Chua
91
66
0
11 Nov 2018
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
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