Saved in:
| Main Author: | Singh, Aasheesh |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.22924 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024)
by: Liu, Langming, et al.
Published: (2024)
Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024)
by: He, Xinrui, et al.
Published: (2024)
A Systematic Survey on Federated Sequential Recommendation
by: Li, Yichen, et al.
Published: (2025)
by: Li, Yichen, et al.
Published: (2025)
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
by: Tran, Hung Vinh, et al.
Published: (2024)
by: Tran, Hung Vinh, et al.
Published: (2024)
Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)
by: Wang, Haiyan, et al.
Published: (2024)
Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
by: Tu, Yuchun, et al.
Published: (2026)
by: Tu, Yuchun, et al.
Published: (2026)
Federated Personal Knowledge Graph Completion with Lightweight Large Language Models for Personalized Recommendations
by: Spadea, Fernando, et al.
Published: (2026)
by: Spadea, Fernando, et al.
Published: (2026)
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
by: Zhang, Hongyu, et al.
Published: (2023)
by: Zhang, Hongyu, et al.
Published: (2023)
Recommendation systems in e-commerce applications with machine learning methods
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
Poisoning Federated Recommender Systems with Fake Users
by: Yin, Ming, et al.
Published: (2024)
by: Yin, Ming, et al.
Published: (2024)
Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
by: Liu, Tianqi, et al.
Published: (2025)
by: Liu, Tianqi, et al.
Published: (2025)
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
by: Zhang, Hongyu, et al.
Published: (2024)
by: Zhang, Hongyu, et al.
Published: (2024)
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
by: Ebrat, Danial, et al.
Published: (2024)
by: Ebrat, Danial, et al.
Published: (2024)
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
by: Wan, Sheng, et al.
Published: (2023)
by: Wan, Sheng, et al.
Published: (2023)
A Privacy Preserving System for Movie Recommendations Using Federated Learning
by: Neumann, David, et al.
Published: (2023)
by: Neumann, David, et al.
Published: (2023)
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
by: Rong, Dazhong, et al.
Published: (2022)
by: Rong, Dazhong, et al.
Published: (2022)
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
by: Singh, Anima, et al.
Published: (2023)
by: Singh, Anima, et al.
Published: (2023)
Ads Recommendation in a Collapsed and Entangled World
by: Pan, Junwei, et al.
Published: (2024)
by: Pan, Junwei, et al.
Published: (2024)
Recommendation Is a Dish Better Served Warm
by: Gusak, Danil, et al.
Published: (2025)
by: Gusak, Danil, et al.
Published: (2025)
Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Graph Augmentation for Recommendation
by: Zhang, Qianru, et al.
Published: (2024)
by: Zhang, Qianru, et al.
Published: (2024)
Stability of Explainable Recommendation
by: Vijayaraghavan, Sairamvinay, et al.
Published: (2024)
by: Vijayaraghavan, Sairamvinay, et al.
Published: (2024)
Robust Explainable Recommendation
by: Vijayaraghavan, Sairamvinay, et al.
Published: (2024)
by: Vijayaraghavan, Sairamvinay, et al.
Published: (2024)
When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
by: Chai, Jin, et al.
Published: (2025)
by: Chai, Jin, et al.
Published: (2025)
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
by: Yanagi, Tomoya, et al.
Published: (2024)
by: Yanagi, Tomoya, et al.
Published: (2024)
Building a Scalable, Effective, and Steerable Search and Ranking Platform
by: Celikik, Marjan, et al.
Published: (2024)
by: Celikik, Marjan, et al.
Published: (2024)
Are Recommenders Self-Aware? Label-Free Recommendation Performance Estimation via Model Uncertainty
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Debiased Recommendation with Noisy Feedback
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)
by: Shah, Kulin, et al.
Published: (2025)
Semantic IDs for Music Recommendation
by: Mei, M. Jeffrey, et al.
Published: (2025)
by: Mei, M. Jeffrey, et al.
Published: (2025)
Calibrated Recommendations with Contextual Bandits
by: Feijer, Diego, et al.
Published: (2025)
by: Feijer, Diego, et al.
Published: (2025)
Plausible Counterfactual Explanations of Recommendations
by: Černý, Jakub, et al.
Published: (2025)
by: Černý, Jakub, et al.
Published: (2025)
Online Learning for Recommendations at Grubhub
by: Egg, Alex
Published: (2021)
by: Egg, Alex
Published: (2021)
Supplier Recommendation in Online Procurement
by: Coscrato, Victor, et al.
Published: (2024)
by: Coscrato, Victor, et al.
Published: (2024)
Diffusion Cross-domain Recommendation
by: Xuan, Yuner
Published: (2024)
by: Xuan, Yuner
Published: (2024)
Dataset-Agnostic Recommender Systems
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
by: Agarwal, Arpit, et al.
Published: (2024)
by: Agarwal, Arpit, et al.
Published: (2024)
Similar Items
-
Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024) -
Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024) -
A Systematic Survey on Federated Sequential Recommendation
by: Li, Yichen, et al.
Published: (2025) -
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
by: Tran, Hung Vinh, et al.
Published: (2024) -
Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)