RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback

24 December 2019

Papers citing "RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"

50 / 50 papers shown

Title
Why is Normalization Necessary for Linear Recommenders? Seongmin Park Mincheol Yoon Hye-young Kim Jongwuk Lee 40 0 0 08 Apr 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation Xi Wu Dan Zhang Chao Zhou Liangwei Yang Tianyu Lin Jibing Gong 49 0 0 24 Mar 2025
Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation Beibei Li Tao Xiang Beihong Jin Yiyuan Zheng Rui Zhao BDL 36 0 0 22 Feb 2025
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems Pang Li Shahrul Azman Mohd Noah Hafiz Mohd Sarim 84 1 0 02 Dec 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 50 0 0 15 Oct 2024
A Case Study of Next Portfolio Prediction for Mutual Funds Guilherme Thomaz Denis Maua 21 0 0 08 Oct 2024
Integrating Natural Language Prompting Tasks in Introductory Programming Courses Chris Kerslake Paul Denny David H Smith IV James Prather Juho Leinonen Andrew Luxton-Reilly Stephen MacNeil 34 1 0 04 Oct 2024
Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis Michael Soumm Alexandre Fournier-Montgieux Adrian Daniel Popescu Bertrand Delezoide 31 0 0 03 Oct 2024
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences Simone Mungari Erica Coppolillo Ettore Ritacco Francesco Fabbri Marco Minici Francesco Bonchi Giuseppe Manco 31 0 0 24 Sep 2024
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems Jin-Duk Park Kyung-Min Kim Won-Yong Shin KELM CLL 33 3 0 25 Aug 2024
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li Guodong Long Tianyi Zhou Jing Jiang Chengqi Zhang FedML 38 3 0 16 Aug 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 28 4 0 30 Jul 2024
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering Ilya Shenbin Sergey I. Nikolenko 35 0 0 31 May 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering Seoyoung Hong Jeongwhan Choi Yeon-Chang Lee Srijan Kumar Noseong Park 47 5 0 08 May 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 37 0 0 23 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 26 13 0 22 Apr 2024
A Comprehensive Survey on Self-Supervised Learning for Recommendation Xubin Ren Wei Wei Lianghao Xia Chao Huang SSL 37 9 0 04 Apr 2024
Diffusion Cross-domain Recommendation Yuner Xuan DiffM 46 3 0 03 Feb 2024
RecDCL: Dual Contrastive Learning for Recommendation Dan Zhang Yangliao Geng Wenwen Gong Zhongang Qi Zhiyu Chen Xing Tang Ying Shan Yuxiao Dong Jie Tang 37 24 0 28 Jan 2024
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang CML 77 0 0 02 Nov 2023
Label Denoising through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 34 1 0 27 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 34 14 0 11 Aug 2023
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation Gabriel Bénédict Olivier Jeunen Samuele Papa Samarth Bhargav Daan Odijk Maarten de Rijke DiffM 32 9 0 15 Jun 2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation Jaewan Moon Hye-young Kim Jongwuk Lee 48 4 0 22 May 2023
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation Yu Wang Hengrui Zhang Zhiwei Liu Liangwei Yang Philip S. Yu DRL 36 48 0 27 Aug 2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback Jae-woong Lee Seongmin Park Joonseok Lee Jongwuk Lee CML 27 12 0 26 Jul 2022
Personality-Driven Social Multimedia Content Recommendation Qi Yang Sergey I. Nikolenko Alfred Huang Aleksandr Farseev 49 14 0 25 Jul 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 26 34 0 22 Jun 2022
Multi-stage Ensemble Model for Cross-market Recommendation Cesare Bernardis 11 1 0 17 Feb 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 25 27 0 17 Jan 2022
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies Ruichu Cai Fengzhu Wu Zijian Li Jie Qiao Wei Chen Yuexing Hao Hao Gu CML OffRL 26 5 0 13 Jan 2022
Revisiting the Performance of iALS on Item Recommendation Benchmarks Steffen Rendle Walid Krichene Li Zhang Y. Koren 20 52 0 26 Oct 2021
On the Regularization of Autoencoders Harald Steck Dario Garcia-Garcia SSL AI4CE 30 4 0 21 Oct 2021
Next Period Recommendation Reality Check Sergey Kolesnikov Oleg Lashinin Michail Pechatov Alexander Kosov 16 0 0 11 Oct 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 18 159 0 26 Sep 2021
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering Jin Chen Defu Lian Binbin Jin Xunpeng Huang Kai Zheng Enhong Chen BDL 34 27 0 13 Sep 2021
Deep Variational Models for Collaborative Filtering-based Recommender Systems Jesús Bobadilla Fernando Ortega Abraham Gutiérrez Ángel González-Prieto DRL 30 9 0 27 Jul 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 25 19 0 20 Jul 2021
Denoising User-aware Memory Network for Recommendation Zhiwei. Bian Shaojun Zhou Hao Fu Qihong Yang Zhenqi Sun Junjie Tang Guiquan Liu Kaikui Liu Xiaolong Li HAI AI4TS 69 36 0 12 Jul 2021
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems Carmel Wenga Majirus Fansi S. Chabrier Jean-Martial Mari A. Gabillon 20 2 0 20 Jun 2021
Learning Robust Recommenders through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng Xiangnan He J. Jose Fuli Feng 18 48 0 20 May 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 38 0 0 11 May 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 28 5 0 27 Apr 2021
Local Collaborative Autoencoders Minjin Choi Yoonki Jeong Joonseok Lee Jongwuk Lee BDL 8 18 0 30 Mar 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation Zhe Xie Chengxuan Liu Yichi Zhang Hongtao Lu Dong Wang Yue Ding BDL DRL 36 91 0 19 Mar 2021
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP) Vojtěch Vančura Pavel Kordík BDL DRL 15 12 0 10 Feb 2021
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction Darius Afchar Romain Hennequin FAtt XAI 39 16 0 26 Aug 2020
Joint Variational Autoencoders for Recommendation with Implicit Feedback Bahare Askari Jaroslaw Szlichta Amirali Salehi-Abari DRL 21 4 0 17 Aug 2020
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks L. Mirvakhabova Evgeny Frolov Valentin Khrulkov Ivan Oseledets Alexander Tuzhilin 11 34 0 15 Aug 2020
Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering Yuan Jin He Zhao Ming Liu Ye Zhu Lan Du Longxiang Gao He Zhang Wray L. Buntine 18 0 0 21 Feb 2020