Recommender Systems

AAAI 2024arXiv:2312.10325

#2

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.

sequential recommendationself-attention mechanismoversmoothing problemtransformer-based models+4

104

AAAI 2024arXiv:2401.02913

#3

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng et al.

diffusion modelssequential recommendationuser preference modelingdata sparsity+4

71

AAAI 2024arXiv:2306.04930

#4

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs

Yan Wang, Zhixuan Chu, Xin Ouyang et al.

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Hussein Mozannar, Gagan Bansal, Adam Fourney et al.

code recommendation systemshuman feedback integrationconditional suggestion displayutility-theoretic framework+4

36

AAAI 2025arXiv:2405.03988

#6

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

Jian Jia, Yipei Wang, Yan Li et al.

knowledge adaptationlarge language modelsrecommendation systemsid embedding+3

30

AAAI 2025arXiv:2409.19925

#7

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Qidong Liu, Xian Wu, Wanyu Wang et al.

25

AAAI 2025arXiv:2412.13771

#8

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.

16

ICLR 2025arXiv:2410.20868

#10

RecFlow: An Industrial Full Flow Recommendation Dataset

Qi Liu, Kai Zheng, Rui Huang et al.

industrial recommendation systemsmulti-stage pipelineexposure spaceunexposed items+4

12

AAAI 2024arXiv:2401.06633

#11

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

sequential recommendationsretrieval modelsmulti-round retrievaluser representation adaptation+3

9

NEURIPS 2025arXiv:2505.19623

#12

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Yu Shang, Peijie Liu, Yuwei Yan et al.

7

AAAI 2025arXiv:2502.15685

#13

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation

Yingpeng Du, Zhu Sun, Ziyan Wang et al.

5

NEURIPS 2025arXiv:2505.16994

#14

R$^2$ec: Towards Large Recommender Models with Reasoning

Runyang You, Yongqi Li, Xinyu Lin et al.

5

NEURIPS 2025arXiv:2503.05493

#15

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation

Fan Wang, Chaochao Chen, Weiming Liu et al.

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation

Qijiong Liu, Jieming Zhu, Lu Fan et al.

recommender systemslarge language modelsclick-through rate predictionsequential recommendation+3

4

ICML 2025arXiv:2502.12973

#17

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems

Weiqi Yue, Yuyu Yin, Xin Zhang et al.

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design

Marino Kühne, Panagiotis D. Grontas, Giulia De Pasquale et al.

3

AAAI 2025arXiv:2412.11905

#19

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation

Yatong Sun, Xiaochun Yang, Zhu Sun et al.

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu et al.

multi-domain recommendationhierarchical expert networkscounterfactual data augmentationknowledge transfer patterns+3

2

ICML 2025arXiv:2502.20033

#21

Intent Oriented Contrastive Learning for Sequential Recommendation

Wuhong Wang, Jianhui Ma, Yuren Zhang et al.

CUGF: A Reliable and Fair Recommendation Framework

Nitin Bisht, Xiuwen Gong, Guandong Xu

Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization

Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser

1

sequential recommendationlong-tail problemknowledge distillationsinkhorn optimal transport+3

#24

HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation

Xiaolong Xu, Xudong Zhao, Haolong Xiang et al.

NEURIPS 2025

NEURIPS 2025arXiv:2510.17245

#25

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders

Wenyu Mao, Jiancan Wu, Guoqing Hu et al.

diffusion modelssequential recommendationdenoising processdiscretization error+3

AAAI 2025arXiv:2412.18396

#26

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He et al.

interactive recommendationdeep reinforcement learningcontrastive learningpreference ranking+3

NEURIPS 2025arXiv:2510.23077

#27

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation

Te Song, Lianyong Qi, Weiming Liu et al.

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng et al.

Enhancing Sequential Recommendation with Global Diffusion

Mingxuan Luo, Yang Li, Chen Lin

ENSUR: Equitable and Statistically Unbiased Recommendation

Nitin Bisht, Xiuwen Gong, Guandong Xu

Sub-Interest-Aware Representation Uniformity for Recommender System

Ruijia Ma, Yahong Lian, Chunyao Song

CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation

Shuai Tang, Sitao Lin, Jianghong Ma et al.

Auto Encoding Neural Process for Multi-interest Recommendation

Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.

Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation

Wenjie Du, Xuqiang Li, Jinke Feng et al.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Curriculum Conditioned Diffusion for Multimodal Recommendation

Yimeng Yang, Haokai Ma, Lei Meng et al.

Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions

Zeyu Wang, Yidan Song, Shihao Qin et al.

Think before Recommendation: Autonomous Reasoning-enhanced Recommender

Xiaoyu Kong, Junguang Jiang, Bin Liu et al.

NEURIPS 2025arXiv:2509.22807

#39

MTRec: Learning to Align with User Preferences via Mental Reward Models

Mengchen Zhao, Yifan Gao, Yaqing Hou et al.

sequential recommendationimplicit user feedbackuser preference alignmentmental reward model+2

signed graph learninggraph contrastive learningrecommender systemsnegative feedback utilization+3

#40

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, Yankai Chen, Chenhao Ma et al.

Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation

Leqi Zheng, Chaokun Wang, Zixin Song et al.

NEURIPS 2025

AAAI 2025arXiv:2508.13870

#42

The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space

Jianxiang Zhu, Dandan Lai, Zhongcui Ma et al.

Knowledge-Aware Explainable Reciprocal Recommendation

Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.

How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective

Yanbiao Ji, Yue Ding, Dan Luo et al.

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Jiazheng Jing, Yinan Zhang, Chunyan Miao

recommendation systemssustainable food choicespersonalized recommendationsgreen loss functions+1

reinforcement learningsequential recommendationsession-based recommendationnext-item prediction+3

#46

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems

Taeho Kim, Hyeongjun Jang, Juwon Yu et al.

On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation

Álvaro Labarca Silva, Denis Parra, Rodrigo A Toro Icarte

ICML 2024