Neural Collaborative Filtering vs. Matrix Factorization Revisited

19 May 2020

Li Zhang

Papers citing "Neural Collaborative Filtering vs. Matrix Factorization Revisited"

36 / 36 papers shown

Title
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Yiming Li Hanwen Du You Li Junchen Fu Chunxiao Li Ziyi Zhuang Jiakang Li Yongxin Ni AI4TS 31 0 0 19 Apr 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 65 4 0 31 Dec 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng Junwei Pan Jialong Wu Baixu Chen Ximei Wang Qian Li Xian Hu Jie Jiang Mingsheng Long AI4TS 40 2 0 03 Oct 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 58 5 0 02 Sep 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 56 2 0 19 Jan 2024
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore Vito Walter Anelli Fedelucio Narducci Tommaso Di Noia E. Sciascio ALM 51 27 0 07 Sep 2023
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- $n$ Recommendation Olivier Jeunen Ivan Potapov Aleksei Ustimenko ELM OffRL 27 11 0 27 Jul 2023
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability Jorge Paz-Ruza Amparo Alonso-Betanzos Berta Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco BDL 34 5 0 27 Jul 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin Bahareh Tolooshams Yves Atchadé Demba E. Ba 36 1 0 05 Jun 2023
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services Walid Bendada Guillaume Salha-Galvan Thomas Bouabça Tristan Cazenave 24 8 0 12 Apr 2023
Recommender Systems: A Primer P. Castells Dietmar Jannach OffRL 32 5 0 06 Feb 2023
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations Evgeny Frolov Ivan Oseledets 13 6 0 12 Dec 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 35 1 0 08 Nov 2022
A Two Step Approach to Weighted Bipartite Link Recommendations Na Ma 11 0 0 29 Oct 2022
Collaborative Image Understanding Koby Bibas Oren Sar Shalom Dietmar Jannach VLM 24 2 0 21 Oct 2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 24 1 0 12 Oct 2022
Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering Ángel González-Prieto Abraham Gutiérrez Fernando Ortega R. Lara-Cabrera 31 0 0 05 Oct 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 19 6 0 17 Sep 2022
Understanding the Relation of User and News Representations in Content-Based Neural News Recommendation Lucas Moller Sebastian Padó 24 1 0 29 Jul 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 32 109 0 28 Jul 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 44 28 0 03 Jun 2022
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities Daniel Cummings Anthony Sarah S. N. Sridhar Maciej Szankin J. P. Muñoz Sairam Sundaresan 32 8 0 19 May 2022
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques D. Piyadigama Guhanathan Poravi VLM 19 0 0 03 May 2022
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 35 323 0 02 May 2022
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives Zida Cheng Chuanwei Ruan Siheng Chen Sushant Kumar Ya Zhang 27 16 0 23 Oct 2021
Topologically Regularized Data Embeddings R. Vandaele Bo Kang Jefrey Lijffijt T. D. Bie Yvan Saeys 21 9 0 18 Oct 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 38 100 0 17 Aug 2021
Reenvisioning Collaborative Filtering vs Matrix Factorization Vito Walter Anelli Alejandro Bellogín Tommaso Di Noia Claudio Pomo 16 26 0 28 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 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
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 32 285 0 27 Apr 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 110 0 21 Apr 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 17 9 0 19 Apr 2021
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering Christian B. Hansen Casper Hansen J. Simonsen Christina Lioma 15 5 0 26 Mar 2021
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 15 196 0 18 Nov 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016