Cover Image

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hongyu, Zheng, Dongyi, Zhong, Lin, Yang, Xu, Feng, Jiyuan, Feng, Yunqing, Liao, Qing
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
by: Zhang, Hongyu, et al.
Published: (2023)

Cross-Domain Sequential Recommendation via Neural Process
by: Li, Haipeng, et al.
Published: (2024)

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation
by: Wang, Jinze, et al.
Published: (2025)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
by: Li, Xiaodong, et al.
Published: (2024)

Privacy-Preserving Cross-Domain Sequential Recommendation
by: Lin, Zhaohao, et al.
Published: (2024)

A Survey on Cross-Domain Sequential Recommendation
by: Chen, Shu, et al.
Published: (2024)

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion
by: Guo, Lei, et al.
Published: (2026)

Community-Aware Social Community Recommendation
by: Jiang, Runhao, et al.
Published: (2025)

Recommendation Algorithms: A Comparative Study in Movie Domain
by: Chivukula, Rohit, et al.
Published: (2026)

Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
by: Wang, Li, et al.
Published: (2024)

Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation
by: Ye, Xiaoxin, et al.
Published: (2025)

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)

Contrastive Learning Augmented Social Recommendations
by: Wang, Lin, et al.
Published: (2025)

Task-Aware Retrieval Augmentation for Dynamic Recommendation
by: Tao, Zhen, et al.
Published: (2025)

FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
by: Wang, Li, et al.
Published: (2024)

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
by: Zhu, Jiajie, et al.
Published: (2025)

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement
by: Wang, Yuhan, et al.
Published: (2025)

From Graphs to Hypergraphs: Hypergraph Projection and its Remediation
by: Wang, Yanbang, et al.
Published: (2024)

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
by: Zhu, Jiajie, et al.
Published: (2024)

Hypergraph Diffusion for High-Order Recommender Systems
by: Sakong, Darnbi, et al.
Published: (2025)

KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
by: Wang, Yuhan, et al.
Published: (2025)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
by: He, Xinrui, et al.
Published: (2026)

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation
by: Liu, Yu, et al.
Published: (2025)

Denoised Recommendation Model with Collaborative Signal Decoupling
by: Li, Zefeng, et al.
Published: (2025)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
by: Liu, Weiming, et al.
Published: (2025)

Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
by: Sakong, Darnbi, et al.
Published: (2025)

When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks
by: Shu, Zhiyao, et al.
Published: (2024)

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
by: Chang, Heng, et al.
Published: (2025)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
by: Han, Mingzhe, et al.
Published: (2025)

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System
by: Gao, Shangde, et al.
Published: (2025)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)

Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
by: Guo, Lei, et al.
Published: (2025)

A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)

HiFIRec Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation
by: Luo, Ruiqi, et al.
Published: (2025)

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

Causality Enhancement for Cross-Domain Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
by: Li, Zhuhang, et al.
Published: (2024)