Variational Autoencoders for Collaborative Filtering

16 February 2018

Matthew D. Hoffman

Papers citing "Variational Autoencoders for Collaborative Filtering"

50 / 117 papers shown

Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Algorithm Performance Spaces for Strategic Dataset Selection Steffen Schulz 24 0 0 29 Apr 2025
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 28 0 0 10 Apr 2025
Why is Normalization Necessary for Linear Recommenders? Seongmin Park Mincheol Yoon Hye-young Kim Jongwuk Lee 35 0 0 08 Apr 2025
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features Edward DongBo Cui Lu Zhang William Ping-hsun Lee 36 0 0 03 Apr 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 39 1 0 02 Apr 2025
Extending MovieLens-32M to Provide New Evaluation Objectives Mark D. Smucker Houmaan Chamani 33 0 0 02 Apr 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 118 5 0 13 Mar 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 111 0 0 13 Feb 2025
RecKG: Knowledge Graph for Recommender Systems Junhyuk Kwon Seokho Ahn Young-Duk Seo 44 1 0 08 Jan 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments Yuanhao Liu Shuo Liu Yimeng Liu Jingwen Yang Hong Qian AI4Ed 36 0 0 19 Oct 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
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus Bangchao Deng Xin Jing Tianyue Yang Bingqing Qu Dingqi Yang Philippe Cudre-Mauroux 34 0 0 20 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 53 5 0 02 Sep 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations Hai-Dang Kieu Minh-Duc Nguyen T. Nguyen Dung D. Le RALM LRM 79 2 0 30 May 2024
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival Liangrui Pan Yijun Peng Yan Li Yiyi Liang Liwen Xu Qingchun Liang Shaoliang Peng 36 0 0 13 May 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
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 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
On Generative Agents in Recommendation An Zhang Yuxin Chen Leheng Sheng Xiang Wang Tat-Seng Chua 38 44 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 23 3 0 15 Oct 2023
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce Manuel Dibak Vladimir Vlasov Nour Karessli Darya Dedik E. Malykh Jacek Wasilewski T. Torres Ana Peleteiro Ramallo AI4TS 26 1 0 18 Sep 2023
Private Matrix Factorization with Public Item Features Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan 37 3 0 17 Sep 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 29 13 0 21 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering Lei Pan V. Soo 37 0 0 14 Aug 2023
White-box Membership Inference Attacks against Diffusion Models Yan Pang Tianhao Wang Xu Kang Mengdi Huai Yang Zhang AAML DiffM 46 22 0 11 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 29 14 0 11 Aug 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 30 88 0 06 Jul 2023
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 24 15 0 28 Jun 2023
Preference or Intent? Double Disentangled Collaborative Filtering Chao Wang Hengshu Zhu Dazhong Shen Wei Wu Hui Xiong 36 1 0 18 May 2023
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis Santiago de Leon-Martinez Robert Moro Maria Bielikova 14 3 0 12 May 2023
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 35 21 0 02 Mar 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 38 3 0 15 Feb 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 33 30 0 09 Feb 2023
Recommender Systems: A Primer P. Castells Dietmar Jannach OffRL 32 5 0 06 Feb 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 42 2 0 26 Jan 2023
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction Cheng Liang Teng Huang Yi He Song Deng Di Wu Xin Luo 27 0 0 20 Dec 2022
Towards Reliable Item Sampling for Recommendation Evaluation Dong Li Ruoming Jin Zhenming Liu Bin Ren Jing Gao Zhi Liu 22 9 0 28 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 40 0 17 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 24 6 0 25 Oct 2022
Collaborative Image Understanding Koby Bibas Oren Sar Shalom Dietmar Jannach VLM 24 2 0 21 Oct 2022
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters Hyunsik Jeon Jun-Gi Jang Taehun Kim U. Kang 35 7 0 19 Oct 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 18 0 0 09 Sep 2022
Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services Douglas R. Turnbull Sean McQuillan Vera Crabtree John Hunter Su Zhang 14 4 0 19 Aug 2022
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 42 3 0 08 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 30 109 0 28 Jul 2022
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation Aleksandr V. Petrov Craig Macdonald 25 45 0 15 Jul 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 30 11 0 28 Jun 2022
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