Imagen de Portada

PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Lina, Yang, Huan, Shen, Yiran, Liu, Chao, Qi, Lianyong, Cheng, Xiuzhen, Li, Feng
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Contextual Distillation Model for Diversified Recommendation
por: Li, Fan, et al.
Publicado: (2024)

Knowledge Graph Context-Enhanced Diversified Recommendation
por: Liu, Xiaolong, et al.
Publicado: (2023)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion
por: Wang, Wei, et al.
Publicado: (2024)

Post-Training Attribute Unlearning in Recommender Systems
por: Chen, Chaochao, et al.
Publicado: (2024)

Dual-disentangle Framework for Diversified Sequential Recommendation
por: Zhang, Haoran, et al.
Publicado: (2025)

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
por: Guo, Lei, et al.
Publicado: (2026)

How to Diversify any Personalized Recommender?
por: Slokom, Manel, et al.
Publicado: (2024)

On Practical Diversified Recommendation with Controllable Category Diversity Framework
por: Zhang, Tao, et al.
Publicado: (2024)

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

Tree of Preferences for Diversified Recommendation
por: Yuan, Hanyang, et al.
Publicado: (2025)

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

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

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
por: Wu, Guowei, et al.
Publicado: (2024)

RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
por: Cheng, Yihang, et al.
Publicado: (2024)

Causal Learning for Trustworthy Recommender Systems: A Survey
por: Li, Jin, et al.
Publicado: (2024)

Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and Method
por: Liu, Ze, et al.
Publicado: (2024)

Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
por: Wang, Yuyan, et al.
Publicado: (2024)

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

Towards Automated Model Design on Recommender Systems
por: Zhang, Tunhou, et al.
Publicado: (2024)

PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System
por: Yang, Chaoqun, et al.
Publicado: (2024)

Distributionally Robust Graph-based Recommendation System
por: Wang, Bohao, et al.
Publicado: (2024)

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

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
por: Luo, Chaoguang, et al.
Publicado: (2024)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
por: Li, Zihao, et al.
Publicado: (2024)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
por: Lin, Xinyu, et al.
Publicado: (2023)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation
por: Yin, Qing, et al.
Publicado: (2024)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
por: Wang, Zheng, et al.
Publicado: (2024)

Data-efficient Fine-tuning for LLM-based Recommendation
por: Lin, Xinyu, et al.
Publicado: (2024)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
por: Qu, Liang, et al.
Publicado: (2024)

The 2nd Workshop on Human-Centered Recommender Systems
por: Zhang, Kaike, et al.
Publicado: (2025)

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
por: Zhang, Kaike, et al.
Publicado: (2025)

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
por: Cheng, Xinghe, et al.
Publicado: (2025)

Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
por: Lu, Ziang, et al.
Publicado: (2025)

Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model
por: Cao, Shiteng, et al.
Publicado: (2026)

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
por: Huang, Ting-Ji, et al.
Publicado: (2024)

Preserving Privacy and Utility in LLM-Based Product Recommendations
por: Khezresmaeilzadeh, Tina, et al.
Publicado: (2025)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
por: Wu, Ziqing, et al.
Publicado: (2024)

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

A Closer Look on Gender Stereotypes in Movie Recommender Systems and Their Implications with Privacy
por: Roy, Falguni, et al.
Publicado: (2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
por: Zhang, Yingyi, et al.
Publicado: (2025)