Variational Autoencoders for Collaborative Filtering

16 February 2018

Matthew D. Hoffman

Papers citing "Variational Autoencoders for Collaborative Filtering"

50 / 119 papers shown

Title
On the Generalizability and Predictability of Recommender Systems Duncan C. McElfresh Sujay Khandagale Jonathan Valverde John P. Dickerson Colin White 41 10 0 23 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 16 4 0 17 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 33 28 0 03 Jun 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 41 35 0 17 May 2022
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 35 323 0 02 May 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 23 36 0 26 Apr 2022
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems Mohammadmehdi Naghiaei Hossein A. Rahmani Yashar Deldjoo FaML 42 93 0 17 Apr 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen Haoyu Geng Nianzu Yang Junchi Yan Daiyue Xue Jianping Yu Xiaokang Yang HAI AI4TS 27 11 0 30 Mar 2022
The Unfairness of Popularity Bias in Book Recommendation Mohammadmehdi Naghiaei Hossein A. Rahmani M. Dehghan FaML 79 27 0 27 Feb 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation Hossein A. Rahmani Yashar Deldjoo Ali Tourani Mohammadmehdi Naghiaei FaML 21 22 0 27 Feb 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SeongKu Kang Dongha Lee Wonbin Kweon Junyoung Hwang Hwanjo Yu 17 12 0 26 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 22 419 0 13 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 20 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
On Sampling Collaborative Filtering Datasets Noveen Sachdeva Carole-Jean Wu Julian McAuley 29 16 0 13 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
Deep Causal Reasoning for Recommendations Yaochen Zhu Jing Yi Jiayi Xie Zhenzhong Chen CML BDL 27 10 0 06 Jan 2022
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 25 3 0 02 Dec 2021
Variational Autoencoders for Precoding Matrices with High Spectral Efficiency E. Bobrov Alexander Markov Sviatoslav Panchenko A. R. R. Institute DRL 19 2 0 23 Nov 2021
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 23 2 0 20 Nov 2021
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 34 103 0 06 Nov 2021
iALS++: Speeding up Matrix Factorization with Subspace Optimization Steffen Rendle Walid Krichene Li Zhang Y. Koren 14 9 0 26 Oct 2021
On the Regularization of Autoencoders Harald Steck Dario Garcia-Garcia SSL AI4CE 30 4 0 21 Oct 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 31 45 0 20 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
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic Weicong Ding Hanlin Tang Jingshuo Feng Lei Yuan Sen Yang ... Dongying Kong Kai Ren Peng Jiang Qiao Lian Ji Liu 44 1 0 20 Aug 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 28 100 0 17 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 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
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering Xin Zhou Aixin Sun Yong-jin Liu Jie Zhang Chunyan Miao SSL 29 76 0 07 Jul 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation Sanshi Lei Yu Zhuoxuan Jiang Dongdong Chen Shanshan Feng Dongsheng Li Qi Liu Jinfeng Yi 41 20 0 07 Jun 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
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 22 50 0 17 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 20 6 0 12 Apr 2021
Energy Disaggregation using Variational Autoencoders A. Langevin M. Carbonneau M. Cheriet G. Gagnon DRL 18 56 0 22 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
DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback Sarina Sajadi Ghaemmaghami Amirali Salehi-Abari FedML 48 2 0 13 Mar 2021
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning Yuan Jin Wray L. Buntine F. Petitjean Geoffrey I. Webb SSL 25 1 0 12 Nov 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 16 1,119 0 21 Oct 2020
div2vec: Diversity-Emphasized Node Embedding Jisu Jeong Jeong-Min Yun Hongi Keam Young-Jin Park Zimin Park Junki Cho 19 5 0 21 Sep 2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context Milena Filipovic B. Mitrevski Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat OffRL 32 10 0 19 Sep 2020
Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes Markus Schedl Christine Bauer Wolfgang Reisinger Dominik Kowald Elisabeth Lex 22 18 0 11 Sep 2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation T. Tran Di You Kyumin Lee 31 13 0 31 Aug 2020
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals Otmane Sakhi Stephen Bonner D. Rohde Flavian Vasile 16 34 0 28 Aug 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data Niels Bruun Ipsen Pierre-Alexandre Mattei J. Frellsen DRL 14 54 0 23 Jun 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 24 64 0 21 May 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 31 142 0 20 May 2020
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 45 56 0 04 Mar 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback Chao Wang Hengshu Zhu Chen Zhu Chuan Qin Hui Xiong CML BDL 10 40 0 23 Feb 2020