Cover Image

Large Language Model Simulator for Cold-Start Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Feiran, Bei, Yuanchen, Yang, Zhenghang, Jiang, Junyi, Chen, Hao, Shen, Qijie, Wang, Senzhang, Karray, Fakhri, Yu, Philip S.
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
by: Liu, Ruochen, et al.
Published: (2025)

Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
by: Zhang, Weizhi, et al.
Published: (2025)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
by: Chen, Hao, et al.
Published: (2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
by: Zhang, Yijie, et al.
Published: (2024)

Feedback Reciprocal Graph Collaborative Filtering
by: Chen, Weijun, et al.
Published: (2024)

Graph Cross-Correlated Network for Recommendation
by: Chen, Hao, et al.
Published: (2024)

AliBoost: Ecological Boosting Framework in Alibaba Platform
by: Shen, Qijie, et al.
Published: (2025)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)

Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
by: Kusano, Genki, et al.
Published: (2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling
by: Lan, Yu-Ting, et al.
Published: (2025)

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
by: Hänsch, S., et al.
Published: (2026)

GateSID: Adaptive Gating for Semantic-Collaborative Alignment in Cold-Start Recommendation
by: Zhu, Hai, et al.
Published: (2026)

SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)

Item-centric Exploration for Cold Start Problem
by: Wang, Dong, et al.
Published: (2025)

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
by: Shen, Chenglei, et al.
Published: (2026)

Leveraging Artist Catalogs for Cold-Start Music Recommendation
by: Tamm, Yan-Martin, et al.
Published: (2026)

Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)

On Inherited Popularity Bias in Cold-Start Item Recommendation
by: Meehan, Gregor, et al.
Published: (2025)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
by: Yao, Hongyu, et al.
Published: (2025)

Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts
by: Li, Ming, et al.
Published: (2025)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
by: Li, Xiaodong, et al.
Published: (2026)

Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
by: Zeng, Guohang, et al.
Published: (2024)

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)

Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation
by: Yang, Wooseong, et al.
Published: (2025)

Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
by: Chen, Junyi, et al.
Published: (2024)

Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation
by: Bui, Tuan-Nghia, et al.
Published: (2025)

Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
by: Ebrahimi, Saeed, et al.
Published: (2025)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)

Training Large Recommendation Models via Graph-Language Token Alignment
by: Yang, Mingdai, et al.
Published: (2025)

Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
by: Subbaraman, Nachiket, et al.
Published: (2025)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
by: Zhang, Chunxu, et al.
Published: (2023)

Graph Reasoning for Explainable Cold Start Recommendation
by: Frej, Jibril, et al.
Published: (2024)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024)

IDProxy: Cold-Start CTR Prediction for Ads and Recommendation at Xiaohongshu with Multimodal LLMs
by: Zhang, Yubin, et al.
Published: (2026)

Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions
by: Xiang, Yang, et al.
Published: (2025)

Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)