LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Wenlin, Wu, Chuhan, Li, Xiangyang, Wang, Yuhao, Dong, Kuicai, Wang, Yichao, Dai, Xinyi, Zhao, Xiangyu, Guo, Huifeng, Tang, Ruiming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
by: Fu, Zichuan, et al.
Published: (2023)
by: Fu, Zichuan, et al.
Published: (2023)
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026)
by: Zhang, Wenlin, et al.
Published: (2026)
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)
by: Gao, Jingtong, et al.
Published: (2025)
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)
by: Gao, Jingtong, et al.
Published: (2024)
HAMUR: Hyper Adapter for Multi-Domain Recommendation
by: Li, Xiaopeng, et al.
Published: (2023)
by: Li, Xiaopeng, et al.
Published: (2023)
Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)
by: Zhao, Xiangyu, et al.
Published: (2025)
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)
by: Shi, Yuxiang, et al.
Published: (2022)
SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)
by: Yao, Yining, et al.
Published: (2025)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
by: Li, Xiangyang, et al.
Published: (2024)
by: Li, Xiangyang, et al.
Published: (2024)
How Can Recommender Systems Benefit from Large Language Models: A Survey
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
by: Liu, Jialin, et al.
Published: (2026)
by: Liu, Jialin, et al.
Published: (2026)
SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity
by: Brody, Shaked, et al.
Published: (2024)
by: Brody, Shaked, et al.
Published: (2024)
RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
by: Rajapakse, Dilina Chandika, et al.
Published: (2024)
by: Rajapakse, Dilina Chandika, et al.
Published: (2024)
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
by: Tang, Ruiming, et al.
Published: (2025)
by: Tang, Ruiming, et al.
Published: (2025)
Prompt Tuning as User Inherent Profile Inference Machine
by: Lu, Yusheng, et al.
Published: (2024)
by: Lu, Yusheng, et al.
Published: (2024)
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)
by: Wu, Zhuo, et al.
Published: (2024)
Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)
by: Huang, Feiran, et al.
Published: (2024)
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
by: Shen, Chenglei, et al.
Published: (2026)
by: Shen, Chenglei, et al.
Published: (2026)
Deep Research: A Survey of Autonomous Research Agents
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Embedding Compression in Recommender Systems: A Survey
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, 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)
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
by: Li, Xiaopeng, et al.
Published: (2026)
by: Li, Xiaopeng, et al.
Published: (2026)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
by: Ye, Yufei, et al.
Published: (2025)
by: Ye, Yufei, et al.
Published: (2025)
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
by: Chen, Jizheng, et al.
Published: (2024)
by: Chen, Jizheng, et al.
Published: (2024)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)
by: Liu, Zhanyu, et al.
Published: (2025)
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
by: Liu, Zhongzhou, et al.
Published: (2024)
by: Liu, Zhongzhou, et al.
Published: (2024)
Similar Items
-
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
by: Fu, Zichuan, et al.
Published: (2023) -
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024) -
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024) -
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026) -
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
by: Zhang, Wenlin, et al.
Published: (2025)