Saved in:
| Main Authors: | Wang, Yihan, Xiong, Fei, Han, Zhexin, Song, Qi, Zhan, Kaiqiao, Wang, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.20687 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
by: Chen, Xiaoshuang, et al.
Published: (2024)
by: Chen, Xiaoshuang, et al.
Published: (2024)
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
by: Su, Shuo, et al.
Published: (2024)
by: Su, Shuo, et al.
Published: (2024)
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
by: Sun, Jie, et al.
Published: (2024)
by: Sun, Jie, et al.
Published: (2024)
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
by: Xiong, Chao, et al.
Published: (2025)
by: Xiong, Chao, et al.
Published: (2025)
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
by: Zhang, Gengrui, et al.
Published: (2024)
by: Zhang, Gengrui, et al.
Published: (2024)
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework
by: Yang, Yunfei, et al.
Published: (2024)
by: Yang, Yunfei, et al.
Published: (2024)
One Backpropagation in Two Tower Recommendation Models
by: Chen, Erjia, et al.
Published: (2024)
by: Chen, Erjia, et al.
Published: (2024)
Unleashing the Power of Large Language Model for Denoising Recommendation
by: Wang, Shuyao, et al.
Published: (2025)
by: Wang, Shuyao, et al.
Published: (2025)
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)
by: Yin, Jun, et al.
Published: (2024)
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders
by: Xu, Cong, et al.
Published: (2024)
by: Xu, Cong, et al.
Published: (2024)
Creator-Side Recommender System: Challenges, Designs, and Applications
by: Chen, Xiaoshuang, et al.
Published: (2025)
by: Chen, Xiaoshuang, et al.
Published: (2025)
RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
by: Yan, YaChen, et al.
Published: (2024)
by: Yan, YaChen, et al.
Published: (2024)
HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems
by: Yang, Haoqiang, et al.
Published: (2025)
by: Yang, Haoqiang, et al.
Published: (2025)
CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
by: Wang, Lixiang, et al.
Published: (2026)
by: Wang, Lixiang, et al.
Published: (2026)
CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
by: Wang, Lixiang, et al.
Published: (2026)
by: Wang, Lixiang, et al.
Published: (2026)
Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026)
by: Zhang, Zhiyang, et al.
Published: (2026)
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation
by: Yang, Yuhan, et al.
Published: (2026)
by: Yang, Yuhan, et al.
Published: (2026)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)
by: Zhang, Wenlin, et al.
Published: (2024)
Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2026)
by: Lai, Weijiang, et al.
Published: (2026)
ContextGNN: Beyond Two-Tower Recommendation Systems
by: Yuan, Yiwen, et al.
Published: (2024)
by: Yuan, Yiwen, et al.
Published: (2024)
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)
by: Hager, Philipp, et al.
Published: (2025)
S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation
by: Guo, Zihao, et al.
Published: (2026)
by: Guo, Zihao, et al.
Published: (2026)
Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)
by: Xia, Ming, et al.
Published: (2026)
UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
by: Li, Na, et al.
Published: (2026)
by: Li, Na, et al.
Published: (2026)
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)
by: Hager, Philipp, et al.
Published: (2025)
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models
by: de Haan, Morris, et al.
Published: (2024)
by: de Haan, Morris, et al.
Published: (2024)
Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models
by: Zhou, Yizhi, et al.
Published: (2026)
by: Zhou, Yizhi, et al.
Published: (2026)
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
by: Xiong, Qiushi, et al.
Published: (2025)
by: Xiong, Qiushi, et al.
Published: (2025)
Graph Signal Diffusion Model for Collaborative Filtering
by: Zhu, Yunqin, et al.
Published: (2023)
by: Zhu, Yunqin, et al.
Published: (2023)
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
by: Du, Haotong, et al.
Published: (2025)
by: Du, Haotong, et al.
Published: (2025)
Unleashing Graph Partitioning for Large-Scale Nearest Neighbor Search
by: Gottesbüren, Lars, et al.
Published: (2024)
by: Gottesbüren, Lars, et al.
Published: (2024)
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)
by: Cui, Yu, et al.
Published: (2024)
CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
by: Zhan, Hao, et al.
Published: (2026)
by: Zhan, Hao, et al.
Published: (2026)
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
by: Wu, Song-Li, et al.
Published: (2023)
by: Wu, Song-Li, et al.
Published: (2023)
GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)
by: Zhang, Kaike, et al.
Published: (2025)
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation
by: Luo, Liang, et al.
Published: (2024)
by: Luo, Liang, et al.
Published: (2024)
Similar Items
-
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
by: Cao, Yang, et al.
Published: (2025) -
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
by: Chen, Xiaoshuang, et al.
Published: (2024) -
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
by: Su, Shuo, et al.
Published: (2024) -
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
by: Sun, Jie, et al.
Published: (2024) -
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
by: Xiong, Chao, et al.
Published: (2025)