Imagen de Portada

MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Park, Jiin, Kim, Misuk
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AOTree: Aspect Order Tree-based Model for Explainable Recommendation
por: Zhao, Wenxin, et al.
Publicado: (2024)

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations
por: Mehta, Sushant
Publicado: (2026)

Ontology-Based Knowledge Graph Framework for Industrial Standard Documents via Hierarchical and Propositional Structuring
por: Park, Jiin, et al.
Publicado: (2025)

Multi-Aspect Cross-modal Quantization for Generative Recommendation
por: Zhang, Fuwei, et al.
Publicado: (2025)

Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
por: Kim, Sein, et al.
Publicado: (2026)

A Survey on LLM-powered Agents for Recommender Systems
por: Peng, Qiyao, et al.
Publicado: (2025)

Token-Efficient Item Representation via Images for LLM Recommender Systems
por: Kim, Kibum, et al.
Publicado: (2025)

Towards Trustworthy LLM-Based Recommendation via Rationale Integration
por: Park, Chung, et al.
Publicado: (2025)

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
por: Kim, Sein, et al.
Publicado: (2024)

Engineering Serendipity through Recommendations of Items with Atypical Aspects
por: Aditya, Ramit, et al.
Publicado: (2025)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
por: Shang, Yu, et al.
Publicado: (2025)

Multi-Behavior Recommender Systems: A Survey
por: Kim, Kyungho, et al.
Publicado: (2025)

Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
por: Reiter-Haas, Markus, et al.
Publicado: (2025)

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

AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
por: Yan, Yuwei, et al.
Publicado: (2025)

Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
por: Kim, Jiwan, et al.
Publicado: (2025)

Towards Efficient Hypergraph and Multi-LLM Agent Recommender Systems
por: Mukande, Tendai, et al.
Publicado: (2025)

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
por: Guo, Xu, et al.
Publicado: (2025)

AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents
por: Yang, Mingdai, et al.
Publicado: (2025)

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
por: Liu, Jiahao, et al.
Publicado: (2025)

Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
por: Nguyen, Van-Khang, et al.
Publicado: (2025)

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
por: Kim, Kyungho, et al.
Publicado: (2025)

MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
por: Cho, Seung Hwan, et al.
Publicado: (2025)

Unlocking the Potential of Large Language Models for Explainable Recommendations
por: Luo, Yucong, et al.
Publicado: (2023)

Explainable Session-based Recommendation via Path Reasoning
por: Cao, Yang, et al.
Publicado: (2024)

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
por: Chen, Jinpeng, et al.
Publicado: (2025)

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
por: Li, Lei, et al.
Publicado: (2024)

A Model-based Multi-Agent Personalized Short-Video Recommender System
por: Zhou, Peilun, et al.
Publicado: (2024)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
por: Kim, Sunwoo, et al.
Publicado: (2025)

ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
por: Ma, Bo, et al.
Publicado: (2025)

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
por: Wang, Hui, et al.
Publicado: (2026)

On Generative Agents in Recommendation
por: Zhang, An, et al.
Publicado: (2023)

MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
por: Bahi, Abderaouf, et al.
Publicado: (2026)

DReX: An Explainable Deep Learning-based Multimodal Recommendation Framework
por: Shyam, Adamya, et al.
Publicado: (2026)

AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation
por: Bougie, Nicolas, et al.
Publicado: (2026)

Explainable CTR Prediction via LLM Reasoning
por: Yu, Xiaohan, et al.
Publicado: (2024)

Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation
por: Wang, Ruibing, et al.
Publicado: (2025)

MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation
por: Kim, Hyunsoo, et al.
Publicado: (2026)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
por: Kim, Sein, et al.
Publicado: (2025)

Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
por: Li, Ling, et al.
Publicado: (2023)