Copertina

MMREC: LLM Based Multi-Modal Recommender System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Jiahao, Zhao, Jinman, Wang, Zhenkai, Ding, Zhicheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data Imputation using Large Language Model to Accelerate Recommendation System
di: Ding, Zhicheng, et al.
Pubblicazione: (2024)

DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
di: Tian, Jiahao, et al.
Pubblicazione: (2025)

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

A Multi-Agent Conversational Recommender System
di: Fang, Jiabao, et al.
Pubblicazione: (2024)

iAgent: LLM Agent as a Shield between User and Recommender Systems
di: Xu, Wujiang, et al.
Pubblicazione: (2025)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
di: Chen, Haonan, et al.
Pubblicazione: (2024)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems
di: Liu, Weihao, et al.
Pubblicazione: (2025)

RDRec: Rationale Distillation for LLM-based Recommendation
di: Wang, Xinfeng, et al.
Pubblicazione: (2024)

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
di: Lin, Jiacheng, et al.
Pubblicazione: (2025)

Improving Conversational Recommendation Systems via Counterfactual Data Simulation
di: Wang, Xiaolei, et al.
Pubblicazione: (2023)

Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
di: Qiu, Zhangchi, et al.
Pubblicazione: (2025)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
di: Han, Donghee, et al.
Pubblicazione: (2025)

TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature
di: Zhao, Hanqing
Pubblicazione: (2026)

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
di: Wang, Xinfeng, et al.
Pubblicazione: (2024)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
di: Wang, Xiaolei, et al.
Pubblicazione: (2025)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
di: Kweon, Wonbin, et al.
Pubblicazione: (2025)

SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
di: Hao, Haochang, et al.
Pubblicazione: (2026)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
di: Luo, Sichun, et al.
Pubblicazione: (2024)

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

Robustness of Structured Data Extraction from In-plane Rotated Documents using Multi-Modal Large Language Models (LLM)
di: Biswas, Anjanava, et al.
Pubblicazione: (2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems
di: Hou, Yupeng, et al.
Pubblicazione: (2023)

Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
di: Zhang, Ruohan, et al.
Pubblicazione: (2025)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
di: Ma, Luyi, et al.
Pubblicazione: (2024)

Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling
di: Wu, Yiqing, et al.
Pubblicazione: (2026)

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
di: Zheng, Yongsen, et al.
Pubblicazione: (2025)

Evaluating the Retrieval Component in LLM-Based Question Answering Systems
di: Alinejad, Ashkan, et al.
Pubblicazione: (2024)

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation
di: Wang, Xindi, et al.
Pubblicazione: (2024)

Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
di: Waterschoot, Cedric, et al.
Pubblicazione: (2025)

EncodeRec: An Embedding Backbone for Recommendation Systems
di: Hadad, Guy, et al.
Pubblicazione: (2026)

Knowledge Graph Driven Recommendation System Algorithm
di: Zhang, Chaoyang, et al.
Pubblicazione: (2023)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
di: Wang, Zhao, et al.
Pubblicazione: (2026)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
di: Tian, Runchu, et al.
Pubblicazione: (2025)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
di: Wang, Xiaolei, et al.
Pubblicazione: (2023)

AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
di: Zhang, Biao, et al.
Pubblicazione: (2026)

Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
di: Nareti, Utsav Kumar, et al.
Pubblicazione: (2025)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
di: Long, Xinwei, et al.
Pubblicazione: (2024)

A BERT Based Hybrid Recommendation System For Academic Collaboration
di: N, Sangeetha, et al.
Pubblicazione: (2025)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
di: Cheng, Yiruo, et al.
Pubblicazione: (2024)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
di: Wei, Tianxin, et al.
Pubblicazione: (2024)

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
di: Zhang, Chiyu, et al.
Pubblicazione: (2024)