Imagen de Portada

RAGR: Review-Augmented Generative Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Yingyi, Li, Junyi, Wang, Yejing, Zhang, Wenlin, Qian, Xiaowei, Zhang, Sheng, Feng, Yue, Wang, Yichao, Liu, Yong, Zhao, Xiangyu, Li, Xianneng
Formato:	Preprint
Publicado:	2026
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
por: Zhang, Sheng, et al.
Publicado: (2026)

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2026)

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
por: Li, Xiaopeng, et al.
Publicado: (2026)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2025)

Deep Research: A Survey of Autonomous Research Agents
por: Zhang, Wenlin, et al.
Publicado: (2025)

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
por: Zhang, Wenlin, et al.
Publicado: (2026)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
por: Zhang, Yingyi, et al.
Publicado: (2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
por: Wang, Yejing, et al.
Publicado: (2025)

Conditional Memory Enhanced Item Representation for Generative Recommendation
por: Liu, Ziwei, et al.
Publicado: (2026)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
por: Li, Xiaopeng, et al.
Publicado: (2024)

Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
por: Que, Yue, et al.
Publicado: (2025)

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

A Survey of Personalization: From RAG to Agent
por: Li, Xiaopeng, et al.
Publicado: (2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
por: Zhang, Wenlin, et al.
Publicado: (2025)

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
por: Zhang, Wenlin, et al.
Publicado: (2026)

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
por: Jia, Pengyue, et al.
Publicado: (2026)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
por: Liu, Qidong, et al.
Publicado: (2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
por: Liu, Qidong, et al.
Publicado: (2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
por: Jia, Pengyue, et al.
Publicado: (2024)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
por: Liu, Qidong, et al.
Publicado: (2025)

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
por: Liu, Ziwei, et al.
Publicado: (2025)

The 2nd Workshop on Recommendation with Generative Models
por: Wang, Wenjie, et al.
Publicado: (2024)

Large Language Model Enhanced Recommender Systems: A Survey
por: Liu, Qidong, et al.
Publicado: (2024)

HAMUR: Hyper Adapter for Multi-Domain Recommendation
por: Li, Xiaopeng, et al.
Publicado: (2023)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
por: Gao, Jingtong, et al.
Publicado: (2025)

LFG: A Generative Network for Real-Time Recommendation
por: Liu, Junyi
Publicado: (2023)

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
por: Zhang, Chi, et al.
Publicado: (2024)

Joint Modeling in Recommendations: A Survey
por: Zhao, Xiangyu, et al.
Publicado: (2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
por: Gao, Jingtong, et al.
Publicado: (2024)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
por: Wang, Shijie, et al.
Publicado: (2025)

Federated Recommendation via Hybrid Retrieval Augmented Generation
por: Zeng, Huimin, et al.
Publicado: (2024)

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

GPRec: Bi-level User Modeling for Deep Recommenders
por: Wang, Yejing, et al.
Publicado: (2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
por: Wang, Yuhao, et al.
Publicado: (2024)

Prompt Tuning as User Inherent Profile Inference Machine
por: Lu, Yusheng, et al.
Publicado: (2024)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
por: Gao, Jingtong, et al.
Publicado: (2026)

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
por: Liu, Ziwei, et al.
Publicado: (2025)

Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
por: Wang, Wei, et al.
Publicado: (2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
por: Wang, Maolin, et al.
Publicado: (2025)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity
por: Dang, Yizhou, et al.
Publicado: (2024)