Outer Product-based Neural Collaborative Filtering

12 August 2018

ArXiv (abs)PDF HTML Github (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 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 Saman Forouzandeh P. Krivitsky Rohitash Chandra 93 0 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 48 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 59 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 89 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