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Blurring-Sharpening Process Models for Collaborative Filtering

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

17 November 2022

Jeongwhan Choi

Papers citing "Blurring-Sharpening Process Models for Collaborative Filtering"

32 / 32 papers shown

Title
Towards A Tri-View Diffusion Framework for Recommendation Ximing Chen Pui Ieng Lei Yijun Sheng Yanyan Liu Zhiguo Gong DiffM 168 0 0 25 Nov 2025
Continuous-time Discrete-space Diffusion Model for Recommendation Chengyi Liu Xiao Chen Shijie Wang Wenqi Fan Qing Li 68 1 0 15 Nov 2025
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation Yehjin Shin Jeongwhan Choi Seojin Kim Noseong Park AI4TS 84 0 0 29 Oct 2025
Graph-Aware Diffusion for Signal Generation Sergio Rozada Vimal K. B. Andrea Cavallo A. Marques Hadi Jamali-Rad Elvin Isufi DiffM 89 0 0 06 Oct 2025
LLM-Enhanced Linear Autoencoders for Recommendation Jaewan Moon Seongmin Park Jongwuk Lee 120 0 0 19 Aug 2025
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage Xuanle Zhao Zilin Sang Yuxuan Li Qi Shi Kaiyan Zhang Duzhen Zhang Xu Han Zhiyuan Liu Maosong Sun Maosong Sun 425 4 0 27 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 293 5 0 01 May 2025
Why is Normalization Necessary for Linear Recommenders?Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Seongmin Park Mincheol Yoon Hye-young Kim Jongwuk Lee 276 2 0 08 Apr 2025
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter Fan Huang Wei Wang DiffM 177 1 0 20 Mar 2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing Maurizio Ferrari Dacrema Michael Benigni Nicola Ferro 209 2 0 10 Mar 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria RecommendationThe Web Conference (WWW), 2025 Jin-Duk Park Jaemin Yoo Won-Yong Shin 255 3 0 13 Feb 2025
Leveraging Member-Group Relations via Multi-View Graph Filtering for Effective Group RecommendationThe Web Conference (WWW), 2025 Chae-Hyun Kim Yoon-Ryung Choi Jin-Duk Park Won-Yong Shin 266 2 0 13 Feb 2025
Secure Federated Graph-Filtering for Recommender Systems Julien Nicolas César Sabater Mohamed Maouche Sonia Ben Mokhtar Mark Coates FedML 118 0 0 28 Jan 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 570 7 0 17 Jan 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral DomainWeb Search and Data Mining (WSDM), 2024 Rui Xia Yanhua Cheng Yongxiang Tang Xiaocheng Liu Xialong Liu Lisong Wang Peng Jiang DiffM 342 7 0 03 Jan 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency PerspectiveKnowledge Discovery and Data Mining (KDD), 2024 Zhangchi Zhu Wei Zhang 300 1 0 16 Nov 2024
Differentially private and decentralized randomized power method Julien Nicolas César Sabater Mohamed Maouche Sonia Ben Mokhtar Mark Coates 237 8 0 04 Nov 2024
Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing Jeongeun Lee SeongKu Kang Won-Yong Shin Jeongwhan Choi Noseong Park Dongha Lee 303 0 0 17 Jul 2024
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias Xingbo He Wenqi Fan Ruobing Wang Yili Wang Ying Wang Shirui Pan Xin Wang CML 210 6 0 27 May 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering Seoyoung Hong Jeongwhan Choi Yeon-Chang Lee Srijan Kumar Noseong Park 199 13 0 08 May 2024
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation Jin-Duk Park Yong-Min Shin Won-Yong Shin 217 12 0 22 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 212 32 0 22 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 218 9 0 27 Mar 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu Tun Lu Peng Zhang Li Shang Ning Gu 191 3 0 13 Feb 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 112 2 0 06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 172 3 0 27 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-AttentionAAAI Conference on Artificial Intelligence (AAAI), 2023 Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park 220 92 0 16 Dec 2023
Graph Signal Diffusion Model for Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Yunqin Zhu Chao Wang Qi Zhang Hui Xiong DiffM 323 35 0 15 Nov 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 240 12 0 15 Jun 2023
Graph Neural Rough Differential Equations for Traffic ForecastingACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Jeongwhan Choi Noseong Park AI4TS 155 27 0 20 Mar 2023
GREAD: Graph Neural Reaction-Diffusion NetworksInternational Conference on Machine Learning (ICML), 2022 Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 203 55 0 25 Nov 2022
Adaptive Universal Generalized PageRank Graph Neural NetworkInternational Conference on Learning Representations (ICLR), 2020 Eli Chien Jianhao Peng Pan Li O. Milenkovic 936 904 0 14 Jun 2020