Buchumschlag

The Application of Large Language Models in Recommendation Systems

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Yu, Peiyang, Xu, Zeqiu, Wang, Jiani, Xu, Xiaochuan
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Information Retrieval
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Enhancing User Intent for Recommendation Systems via Large Language Models
von: Xu, Xiaochuan, et al.
Veröffentlicht: (2025)

A Hybrid Attention Framework for Fake News Detection with Large Language Models
von: Xu, Xiaochuan, et al.
Veröffentlicht: (2025)

Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
von: Li, Jin, et al.
Veröffentlicht: (2026)

Hierarchical Multi-Stage BERT Fusion Framework with Dual Attention for Enhanced Cyberbullying Detection in Social Media
von: Wang, Jiani, et al.
Veröffentlicht: (2025)

Can Large Language Models Assess Serendipity in Recommender Systems?
von: Tokutake, Yu, et al.
Veröffentlicht: (2024)

Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
von: Wanyan, Xinye, et al.
Veröffentlicht: (2025)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
von: Shi, Tianhao, et al.
Veröffentlicht: (2023)

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
von: Yang, Zhisheng, et al.
Veröffentlicht: (2025)

Collaborative Large Language Model for Recommender Systems
von: Zhu, Yaochen, et al.
Veröffentlicht: (2023)

Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
von: Xu, Lanling, et al.
Veröffentlicht: (2024)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
von: Wang, Yu, et al.
Veröffentlicht: (2026)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
von: Luo, Sichun, et al.
Veröffentlicht: (2025)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
von: Xu, Wei, et al.
Veröffentlicht: (2024)

Large Language Model driven Policy Exploration for Recommender Systems
von: Wang, Jie, et al.
Veröffentlicht: (2025)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs
von: Wang, Yan, et al.
Veröffentlicht: (2023)

Intent Representation Learning with Large Language Model for Recommendation
von: Wang, Yu, et al.
Veröffentlicht: (2025)

Large Language Model as Universal Retriever in Industrial-Scale Recommender System
von: Jiang, Junguang, et al.
Veröffentlicht: (2025)

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
von: Wang, Bohao, et al.
Veröffentlicht: (2026)

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation
von: Xu, Cong, et al.
Veröffentlicht: (2024)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
von: Yang, Xihong, et al.
Veröffentlicht: (2024)

Item-side Fairness of Large Language Model-based Recommendation System
von: Jiang, Meng, et al.
Veröffentlicht: (2024)

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
von: Xing, Haibo, et al.
Veröffentlicht: (2025)

Large Language Model Simulator for Cold-Start Recommendation
von: Huang, Feiran, et al.
Veröffentlicht: (2024)

Enhancing Sequential Recommendation with World Knowledge from Large Language Models
von: Dai, Tianjie, et al.
Veröffentlicht: (2025)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
von: Xi, Yunjia, et al.
Veröffentlicht: (2024)

Coherency Improved Explainable Recommendation via Large Language Model
von: Liu, Shijie, et al.
Veröffentlicht: (2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
von: Bao, Keqin, et al.
Veröffentlicht: (2023)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
von: Wang, Jie, et al.
Veröffentlicht: (2024)

NoteLLM: A Retrievable Large Language Model for Note Recommendation
von: Zhang, Chao, et al.
Veröffentlicht: (2024)

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
von: Jia, Pengyue, et al.
Veröffentlicht: (2024)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
von: Huang, Chengkai, et al.
Veröffentlicht: (2025)

A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
von: Tokutake, Yu, et al.
Veröffentlicht: (2025)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
von: Tang, Zuoli, et al.
Veröffentlicht: (2023)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
von: Zhu, Yaochen, et al.
Veröffentlicht: (2025)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
von: Wang, Yu, et al.
Veröffentlicht: (2025)

Harnessing Large Language Models for Group POI Recommendations
von: Long, Jing, et al.
Veröffentlicht: (2024)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
von: Huang, Xu, et al.
Veröffentlicht: (2023)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
von: Cui, Yu, et al.
Veröffentlicht: (2024)

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

LLMRec: Large Language Models with Graph Augmentation for Recommendation
von: Wei, Wei, et al.
Veröffentlicht: (2023)