Imagen de Portada

Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tran, Tin T., Snasel, Vaclav, Nguyen, Loc Tan
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improvement Graph Convolution Collaborative Filtering with Weighted addition input
por: Tran, Tin T., et al.
Publicado: (2025)

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
por: Nguyen, Tan Loc, et al.
Publicado: (2025)

CombiGCN: An effective GCN model for Recommender System
por: Nguyen, Loc Tan, et al.
Publicado: (2025)

Light distillation for Incremental Graph Convolution Collaborative Filtering
por: Fan, X, et al.
Publicado: (2025)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
por: Wu, Yihong, et al.
Publicado: (2024)

QAGCF: Graph Collaborative Filtering for Q&A Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
por: Zhang, Yijie, et al.
Publicado: (2024)

HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation
por: Zhang, Lu, et al.
Publicado: (2023)

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
por: Wu, Wei, et al.
Publicado: (2024)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
por: Lin, Xueting, et al.
Publicado: (2024)

An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System
por: Hasan, Mahamudul
Publicado: (2024)

Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
por: Bobadilla, Jesús, et al.
Publicado: (2024)

Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System
por: Hasan, Mahamudul, et al.
Publicado: (2024)

Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
por: Sun, Aixin
Publicado: (2024)

Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
por: Ouyang, Zhongyu, et al.
Publicado: (2025)

Consensus-Driven Group Recommendation on Sparse Explicit Feedback: A Collaborative Filtering and Choquet-Borda Aggregation Framework
por: Van, Anh Nguyen, et al.
Publicado: (2026)

Improving Collaborative Filtering Recommendation via Graph Learning
por: Wang, Yongyu
Publicado: (2023)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
por: Zhang, Kaike, et al.
Publicado: (2024)

How Powerful is Graph Filtering for Recommendation
por: Peng, Shaowen, et al.
Publicado: (2024)

Neural Causal Graph Collaborative Filtering
por: Wang, Xiangmeng, et al.
Publicado: (2023)

Feedback Reciprocal Graph Collaborative Filtering
por: Chen, Weijun, et al.
Publicado: (2024)

Lightweight Embeddings for Graph Collaborative Filtering
por: Liang, Xurong, et al.
Publicado: (2024)

Secure Federated Graph-Filtering for Recommender Systems
por: Nicolas, Julien, et al.
Publicado: (2025)

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

BERT and CNN integrated Neural Collaborative Filtering for Recommender Systems
por: Munem, Abdullah Al, et al.
Publicado: (2025)

Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
por: Huang, Ling, et al.
Publicado: (2022)

SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
por: Burabak, Mert, et al.
Publicado: (2024)

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
por: Li, Hanyu, et al.
Publicado: (2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering
por: Qin, Yifang, et al.
Publicado: (2024)

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
por: Liang, Xurong, et al.
Publicado: (2025)

Post-Training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation
por: Dervishaj, Ervin, et al.
Publicado: (2026)

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration
por: Zhang, Chi, et al.
Publicado: (2026)

Graph Neural Controlled Differential Equations For Collaborative Filtering
por: Xu, Ke, et al.
Publicado: (2025)

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
por: Cheng, Zhiyong, et al.
Publicado: (2024)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
por: Huang, Junjie, et al.
Publicado: (2024)

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout
por: Zhang, An, et al.
Publicado: (2024)

Collaborative Diffusion Model for Recommender System
por: Lee, Gyuseok, et al.
Publicado: (2025)

Continual Collaborative Distillation for Recommender System
por: Lee, Gyuseok, et al.
Publicado: (2024)

Collaborative Semantic Alignment in Recommendation Systems
por: Wang, Chen, et al.
Publicado: (2023)

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
por: Xu, Jinfeng, et al.
Publicado: (2024)