Recommender Systems
Recommendation algorithms
Top Conferences
Top Papers
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan et al.
Plug-In Diffusion Model for Sequential Recommendation
Haokai Ma, Ruobing Xie, Lei Meng et al.
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Shuo Yang et al.
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation
Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.
Spectral-Based Graph Neutral Networks for Complementary Item Recommendation
Haitong Luo, Xuying Meng, Suhang Wang et al.
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
Xinyu Lin, Wenjie Wang, Jujia Zhao et al.
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
Zhiwei Li, Guodong Long, Tianyi Zhou et al.
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
Ke Wang, Yanmin Zhu, Tianzi Zang et al.
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
Guanghan Li, Xun Zhang, Yufei Zhang et al.
Efficient Inference for Large Language Model-based Generative Recommendation
Xinyu Lin, Chaoqun Yang, Wenjie Wang et al.
CoRA: Collaborative Information Perception by Large Language Modelβs Weights for Recommendation
Yuting Liu, Jinghao Zhang, Yizhou Dang et al.
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
Qi Liu, Xuyang Hou, Defu Lian et al.
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
Hantao Yang, Xutong Liu, Zhiyong Wang et al.
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen et al.
Multimodal Quantitative Language for Generative Recommendation
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang et al.
Towards Robustness and Explainability of Automatic Algorithm Selection
Xingyu Wu, Jibin Wu, Yu Zhou et al.
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
Chunxu Zhang, Guodong Long, Hongkuan Guo et al.
Advantage Alignment Algorithms
Juan Duque, Milad Aghajohari, Timotheus Cooijmans et al.
GraSP: Simple Yet Effective Graph Similarity Predictions
Haoran Zheng, Jieming Shi, Renchi Yang
Policy Design for Two-sided Platforms with Participation Dynamics
Haruka Kiyohara, Fan Yao, Sarah Dean
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan, Penghang Yu, Zhiyi Tan et al.
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
Yuhan Zhao, Rui Chen, Li Chen et al.
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar, Carlee Joe-Wong
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
Approximation algorithms for combinatorial optimization with predictions
Antonios Antoniadis, Marek Elias, Adam Polak et al.
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner et al.
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Yihao Wang, Jiajie Su, Chaochao Chen et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun et al.
Advancing Loss Functions in Recommender Systems: A Comparative Study with a RΓ©nyi Divergence-Based Solution
Shengjia Zhang, Jiawei Chen, Changdong Li et al.
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Sanghyuck Lee, Sangkeun Park, Jaesung Lee
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.
Intent Oriented Contrastive Learning for Sequential Recommendation
Wuhong Wang, Jianhui Ma, Yuren Zhang et al.
Accelerating data-driven algorithm selection for combinatorial partitioning problems
Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li et al.
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
Hongtao Huang, Chengkai Huang, Junda Wu et al.
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
Jiahao Yu, Haozhuang Liu, Yeqiu Yang et al.
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
Junyang Chen, Guoxuan Zou, Pan Zhou et al.
Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
Marino KΓΌhne, Panagiotis D. Grontas, Giulia De Pasquale et al.
ENSUR: Equitable and Statistically Unbiased Recommendation
Nitin Bisht, Xiuwen Gong, Guandong Xu
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Γlvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Yunxing Liao, Xing Liu et al.
V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
Jisoo Kim, Wooseok Seo, Junwan Kim et al.
Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
Qing Yu, Xiaobei Wang, Shuchang Liu et al.
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
Tree of Preferences for Diversified Recommendation
Hanyang Yuan, Ning Tang, Tongya Zheng et al.
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan, Chongming Gao, Wentao Shi et al.
Learning-Augmented Online Bipartite Fractional Matching
XianJun, Davin Choo, Billy Jin, Yongho Shin
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu et al.
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen et al.
Evolutionary Prediction Games
Eden Saig, Nir Rosenfeld
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen et al.
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun et al.
Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
Yangtao Zhou, Hua Chu, chen et al.
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yuhao Yang, ZhI JI, Zhaopeng Li et al.
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
Kai Zheng, Jianxin Wang, Jinhui Xu
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
Antonis Antoniades, Albert Γrwall, Kexun Zhang et al.
Learning-Augmented Search Data Structures
Chunkai Fu, Brandon G. Nguyen, Jung Seo et al.
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
Chen Xu, Yuxin Li, Wenjie Wang et al.
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan, Zecheng Zhang, Xinwei He et al.
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng, Junwei Pan, Jialong Wu et al.
Preference Diffusion for Recommendation
Shuo Liu, An Zhang, Guoqing Hu et al.
Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang, Ke Liang, Yanyi Huang et al.
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
Shuwei Gong, Yuting Liu, Yizhou Dang et al.
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Hourun Li, Yifan Wang, Zhiping Xiao et al.
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
Jiuqiang Li
Iterative Sparse Attention for Long-sequence Recommendation
Guanyu Lin, Jinwei Luo, Yinfeng Li et al.
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation
Fanshen Meng, Zhenhua Meng, Ru Jin et al.
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
Lingyu Mu, Zhengxiao Liu, Zhitong Zhu et al.
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Yuxin Qi, Quan Zhang, Xi Lin et al.
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Nian Rong, Fei Xiong, Shirui Pan et al.
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
Brijraj Singh, Sonal, Niranjan Pedanekar
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
Chao Song, Zheng Ren, Li Lu
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
Piao Tong, Qiao Liu, Zhipeng Zhang et al.
Towards SΒ²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
Shicheng Wang, Hengzhu Tang, Li Gao et al.
Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang, He Bai, Wenke Huang et al.
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao et al.
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Cheng Wu, Liang Su, Chaokun Wang et al.
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
Mingtao Xu, Wei Wei, Peixuan Yang et al.
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu et al.
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
Jinyu Zhang, Zhongying Zhao, Chao Li et al.
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
Learning Personalized Decision Support Policies
Umang Bhatt, Valerie Chen, Katherine M. Collins et al.
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
Wenwen Gong, Yangliao Geng, Dan Zhang et al.
Temporal Graph Contrastive Learning for Sequential Recommendation
Shengzhe Zhang, Liyi Chen, Chao Wang et al.
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
Junpeng Fang, Gongduo Zhang, Qing Cui et al.
Approximation Algorithms for Preference Aggregation Using CP-Nets
Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.