Imagen de Portada

Multi-Behavior Recommender Systems: A Survey

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Kyungho, Kim, Sunwoo, Lee, Geon, Jung, Jinhong, Shin, Kijung
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

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

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

Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
por: Lee, Geon, et al.
Publicado: (2026)

KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
por: Kim, Juyeon, et al.
Publicado: (2025)

From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
por: Shin, Jeeho, et al.
Publicado: (2025)

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation
por: Kim, Sunwoo, et al.
Publicado: (2026)

AlphaFree: Recommendation Free from Users, IDs, and GNNs
por: Jeon, Minseo, et al.
Publicado: (2026)

A Recommender System for NFT Collectibles with Item Feature
por: Choi, Minjoo, et al.
Publicado: (2024)

Enhanced Facet Generation with LLM Editing
por: Lee, Joosung, et al.
Publicado: (2024)

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

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform
por: Kim, Beomsu, et al.
Publicado: (2024)

Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
por: Kim, Juyeon, et al.
Publicado: (2025)

Embedding in Recommender Systems: A Survey
por: Wang, Maolin, et al.
Publicado: (2023)

Multimodal Recommender Systems: A Survey
por: Liu, Qidong, et al.
Publicado: (2023)

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

MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation
por: Park, Jiin, et al.
Publicado: (2025)

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
por: Kim, Tongyoung, et al.
Publicado: (2024)

A Survey on Diffusion Models for Recommender Systems
por: Lin, Jianghao, et al.
Publicado: (2024)

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
por: Zhou, Xiao, et al.
Publicado: (2025)

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
por: Su, Jiajie, et al.
Publicado: (2024)

Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
por: Ko, Geonwoo, et al.
Publicado: (2025)

A Survey on LLM-based News Recommender Systems
por: Wang, Rongyao, et al.
Publicado: (2025)

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)

UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style
por: Kang, Yan, et al.
Publicado: (2024)

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

A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems
por: Zhao, Yu, et al.
Publicado: (2024)

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

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

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

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

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
por: Cui, Xiaoxi, et al.
Publicado: (2025)

Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
por: Taha, Kamal, et al.
Publicado: (2024)

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond
por: Wang, Qi, et al.
Publicado: (2024)

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

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
por: Kim, Junyoung, et al.
Publicado: (2026)

Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
por: Yang, Dayu, et al.
Publicado: (2024)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
por: Han, Yongqiang, et al.
Publicado: (2025)

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
por: Lee, Sunkyung, et al.
Publicado: (2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey
por: Lin, Jianghao, et al.
Publicado: (2023)