BPR: Bayesian Personalized Ranking from Implicit Feedback

9 May 2012

Steffen Rendle

Christoph Freudenthaler

Papers citing "BPR: Bayesian Personalized Ranking from Implicit Feedback"

39 / 39 papers shown

Title
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach Haoran Xin Ying Sun Chao Wang Weijia Zhang Hui Xiong 40 0 0 26 May 2025
Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation Tuan-Nghia Bui Huy-Son Nguyen Cam-Van Thi Nguyen Hoang-Quynh Le Duc-Trong Le 39 0 0 20 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 64 2 0 13 May 2025
Learning Item Representations Directly from Multimodal Features for Effective Recommendation Xin Zhou Xiaoxiong Zhang Dusit Niyato Zhiqi Shen 79 0 0 08 May 2025
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems Xiao Zhou Zhongxiang Zhao Hanze Guo 400 0 0 04 May 2025
Algorithm Performance Spaces for Strategic Dataset Selection Steffen Schulz 51 0 0 29 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences Qiwei Wang Dandan Lin Wenqing Lin Ziming Wu OffRL 67 0 0 13 Apr 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models Tong Zhang 60 0 0 06 Apr 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 93 3 0 27 Mar 2025
CombiGCN: An effective GCN model for Recommender System Loc Tan Nguyen Tin T. Tran 65 2 0 27 Mar 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 198 3 0 20 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 139 2 0 20 Feb 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations Junxuan Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 108 4 0 18 Feb 2025
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation Lei Li Xiao Zhou 66 0 0 17 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 96 3 0 12 Feb 2025
Knowledge Graph Enhanced Language Agents for Recommendation Taicheng Guo Chaochun Liu Hai Wang Varun Mannam Fang Wang Xin Chen Xiangliang Zhang Chandan K. Reddy 93 2 0 28 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 133 17 0 17 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation Han Liu Yinwei Wei Fan Liu Wenjie Wang Liqiang Nie Tat-Seng Chua 95 17 0 13 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Dong Hyun Jeon Wenbo Sun Haoze Song Dongfang Liu Velasquez Alvaro Yixin Xie Shuteng Niu 79 0 0 07 Jan 2025
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation Jinkun Han Wei Li Xhipeng Cai Yongqian Li 79 4 0 05 Jan 2025
Learning when to rank: Estimation of partial rankings from sparse, noisy comparisons Sebastian Morel-Balbi Alec Kirkley CML 82 0 0 05 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 108 4 0 31 Dec 2024
End-to-end Training for Recommendation with Language-based User Profiles Zhaolin Gao Joyce Zhou Yijia Dai Thorsten Joachims AI4Ed 91 3 0 24 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 83 1 0 17 Oct 2024
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG X. Zhao Yan Zhong Zetian Sun Xinshuo Hu Zhenyu Liu Dongfang Li Baotian Hu Min Zhang 131 7 0 14 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 54 0 0 20 Sep 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Wenjie Wang Hang Pan Fuli Feng 123 1 0 07 Sep 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 81 8 0 18 Apr 2024
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation Jiajie Zhu Yan Wang Feng Zhu Zhu Sun CML 113 2 0 17 Apr 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark Coates CLL 63 1 0 06 Mar 2024
Ensuring User-side Fairness in Dynamic Recommender Systems Hyunsik Yoo Zhichen Zeng Jian Kang Ruizhong Qiu David Zhou Zhining Liu Fei Wang Charlie Xu Eunice Chan Hanghang Tong 56 16 0 29 Aug 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 90 5 0 27 Jul 2023
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions Timo Wilm Philipp Normann Sophie Baumeister Paul-Vincent Kobow 66 12 0 27 Jul 2023
Signed Latent Factors for Spamming Activity Detection Yuli Liu 52 1 0 28 Sep 2022
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 63 16 0 10 Jun 2020
Self-Supervised Reinforcement Learning for Recommender Systems Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose SSL OffRL 88 200 0 10 Jun 2020
Practical Privacy Preserving POI Recommendation Chaochao Chen Jun Zhou Bingzhe Wu W. Fang Li Wang Yuan Qi Xiaolin Zheng 40 68 0 05 Mar 2020
Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems Sumit Sidana Mikhail Trofimov Oleh Horodnytskyi Charlotte Laclau Yury Maximov Massih-Reza Amini FedML 65 24 0 29 Apr 2017
Recommender systems inspired by the structure of quantum theory Cyril J. Stark 121 6 0 22 Jan 2016