Climber: Toward Efficient Scaling Laws for Large Recommendation Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Songpei, Wang, Shijia, Guo, Da, Guo, Xianwen, Xiao, Qiang, Huang, Bin, Wu, Guanlin, Luo, Chuanjiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
por: Wang, Shijia, et al.
Publicado: (2025)
por: Wang, Shijia, et al.
Publicado: (2025)
PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
por: Guo, Chengcheng, et al.
Publicado: (2026)
por: Guo, Chengcheng, et al.
Publicado: (2026)
FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency
por: Guo, Xianwen, et al.
Publicado: (2025)
por: Guo, Xianwen, et al.
Publicado: (2025)
Towards Generalizable and Efficient Large-Scale Generative Recommenders
por: Xu, Qiuling, et al.
Publicado: (2026)
por: Xu, Qiuling, et al.
Publicado: (2026)
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
por: Pan, Pingjun, et al.
Publicado: (2026)
por: Pan, Pingjun, et al.
Publicado: (2026)
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
por: Ye, Yufei, et al.
Publicado: (2025)
por: Ye, Yufei, et al.
Publicado: (2025)
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
por: Zhang, Jun, et al.
Publicado: (2025)
por: Zhang, Jun, et al.
Publicado: (2025)
L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
por: Pan, Pingjun, et al.
Publicado: (2026)
por: Pan, Pingjun, et al.
Publicado: (2026)
Advancing the Foundation Model for Music Understanding
por: Jiang, Yi, et al.
Publicado: (2025)
por: Jiang, Yi, et al.
Publicado: (2025)
Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation
por: Fu, Dongqi, et al.
Publicado: (2026)
por: Fu, Dongqi, et al.
Publicado: (2026)
Scaling New Frontiers: Insights into Large Recommendation Models
por: Guo, Wei, et al.
Publicado: (2024)
por: Guo, Wei, et al.
Publicado: (2024)
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model
por: Yan, Bencheng, et al.
Publicado: (2025)
por: Yan, Bencheng, et al.
Publicado: (2025)
Bending the Scaling Law Curve in Large-Scale Recommendation Systems
por: Ding, Qin, et al.
Publicado: (2026)
por: Ding, Qin, et al.
Publicado: (2026)
RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
por: Chen, Jin, et al.
Publicado: (2026)
por: Chen, Jin, et al.
Publicado: (2026)
Collaborative Large Language Model for Recommender Systems
por: Zhu, Yaochen, et al.
Publicado: (2023)
por: Zhu, Yaochen, et al.
Publicado: (2023)
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
por: Wang, Hao, et al.
Publicado: (2025)
por: Wang, Hao, et al.
Publicado: (2025)
Mixed-Precision Embeddings for Large-Scale Recommendation Models
por: Li, Shiwei, et al.
Publicado: (2024)
por: Li, Shiwei, et al.
Publicado: (2024)
EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling
por: Liu, Mingyang, et al.
Publicado: (2026)
por: Liu, Mingyang, et al.
Publicado: (2026)
Exact and Efficient Unlearning for Large Language Model-based Recommendation
por: Hu, Zhiyu, et al.
Publicado: (2024)
por: Hu, Zhiyu, et al.
Publicado: (2024)
Large Language Model as Universal Retriever in Industrial-Scale Recommender System
por: Jiang, Junguang, et al.
Publicado: (2025)
por: Jiang, Junguang, et al.
Publicado: (2025)
Stealthy Attack on Large Language Model based Recommendation
por: Zhang, Jinghao, et al.
Publicado: (2024)
por: Zhang, Jinghao, et al.
Publicado: (2024)
Towards Comprehensible Recommendation with Large Language Model Fine-tuning
por: Luo, Yunze, et al.
Publicado: (2025)
por: Luo, Yunze, et al.
Publicado: (2025)
Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models
por: Zhou, Yizhi, et al.
Publicado: (2026)
por: Zhou, Yizhi, et al.
Publicado: (2026)
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
por: Du, Jing, et al.
Publicado: (2024)
por: Du, Jing, et al.
Publicado: (2024)
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
por: Wang, Li, et al.
Publicado: (2024)
por: Wang, Li, et al.
Publicado: (2024)
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
por: Wang, Hangyu, et al.
Publicado: (2024)
por: Wang, Hangyu, et al.
Publicado: (2024)
Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation
por: Rangadurai, Kaushik, et al.
Publicado: (2024)
por: Rangadurai, Kaushik, et al.
Publicado: (2024)
Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
por: Zhang, Benyu, et al.
Publicado: (2026)
por: Zhang, Benyu, et al.
Publicado: (2026)
Masked Graph Transformer for Large-Scale Recommendation
por: Chen, Huiyuan, et al.
Publicado: (2024)
por: Chen, Huiyuan, et al.
Publicado: (2024)
RecGPT: A Foundation Model for Sequential Recommendation
por: Jiang, Yangqin, et al.
Publicado: (2025)
por: Jiang, Yangqin, et al.
Publicado: (2025)
DiffMM: Multi-Modal Diffusion Model for Recommendation
por: Jiang, Yangqin, et al.
Publicado: (2024)
por: Jiang, Yangqin, et al.
Publicado: (2024)
TokenMixer-Large: Scaling Up Large Ranking Models in Industrial Recommenders
por: Jiang, Yuchen, et al.
Publicado: (2026)
por: Jiang, Yuchen, et al.
Publicado: (2026)
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
por: Liu, Yuting, et al.
Publicado: (2024)
por: Liu, Yuting, et al.
Publicado: (2024)
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
por: Chen, Hao, et al.
Publicado: (2024)
por: Chen, Hao, et al.
Publicado: (2024)
The Application of Large Language Models in Recommendation Systems
por: Yu, Peiyang, et al.
Publicado: (2025)
por: Yu, Peiyang, et al.
Publicado: (2025)
Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
por: Xu, Wei, et al.
Publicado: (2024)
por: Xu, Wei, et al.
Publicado: (2024)
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
por: Li, Jin, et al.
Publicado: (2026)
por: Li, Jin, et al.
Publicado: (2026)
Efficient Item ID Generation for Large-Scale LLM-based Recommendation
por: Subbiah, Anushya, et al.
Publicado: (2025)
por: Subbiah, Anushya, et al.
Publicado: (2025)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
por: Zhang, Wenlin, et al.
Publicado: (2024)
por: Zhang, Wenlin, et al.
Publicado: (2024)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
por: Wang, Yuling, et al.
Publicado: (2024)
por: Wang, Yuling, et al.
Publicado: (2024)
Ejemplares similares
-
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
por: Wang, Shijia, et al.
Publicado: (2025) -
PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
por: Guo, Chengcheng, et al.
Publicado: (2026) -
FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency
por: Guo, Xianwen, et al.
Publicado: (2025) -
Towards Generalizable and Efficient Large-Scale Generative Recommenders
por: Xu, Qiuling, et al.
Publicado: (2026) -
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
por: Pan, Pingjun, et al.
Publicado: (2026)