2025 "recommender systems" Papers
10 papers found
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
Qijiong Liu, Jieming Zhu, Lu Fan et al.
NeurIPS 2025posterarXiv:2503.05493
4
citations
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu et al.
NeurIPS 2025posterarXiv:2509.26063
Language Representations Can be What Recommenders Need: Findings and Potentials
Leheng Sheng, An Zhang, Yi Zhang et al.
ICLR 2025posterarXiv:2407.05441
23
citations
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi, Yuta Saito, Thorsten Joachims
NeurIPS 2025posterarXiv:2503.17674
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
Leqi Zheng, Chaokun Wang, Zixin Song et al.
NeurIPS 2025poster
Normed Spaces for Graph Embedding
Wei Zhao, Diaaeldin Taha, J. Riestenberg et al.
ICLR 2025posterarXiv:2312.01502
1
citations
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
NeurIPS 2025posterarXiv:2510.26095
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
Jiahao Yu, Haozhuang Liu, Yeqiu Yang et al.
NeurIPS 2025posterarXiv:2505.13881
2
citations
True Impact of Cascade Length in Contextual Cascading Bandits
Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh
NeurIPS 2025poster
Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
Qing Yu, Xiaobei Wang, Shuchang Liu et al.
NeurIPS 2025oral
3
citations