Image de couverture de livre

Co-clustering for Federated Recommender System

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Xinrui, Liu, Shuo, Keung, Jackey, He, Jingrui
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
par: He, Xinrui, et autres
Publié: (2026)

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
par: Zou, Jiaru, et autres
Publié: (2025)

Meta Clustering of Neural Bandits
par: Ban, Yikun, et autres
Publié: (2024)

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
par: Li, Zihao, et autres
Publié: (2024)

Efficient and Robust Regularized Federated Recommendation
par: Liu, Langming, et autres
Publié: (2024)

Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
par: Rong, Dazhong, et autres
Publié: (2022)

AdaS&S: a One-Shot Supernet Approach for Automatic Embedding Size Search in Deep Recommender System
par: Wei, He, et autres
Publié: (2024)

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
par: Xiang, Zhichen, et autres
Publié: (2024)

Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
par: Chen, Xiaoshuang, et autres
Publié: (2024)

Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
par: Jiang, Runhao, et autres
Publié: (2026)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
par: Zhang, Tunhou, et autres
Publié: (2022)

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems
par: Zhang, Haochen, et autres
Publié: (2025)

ContextGNN: Beyond Two-Tower Recommendation Systems
par: Yuan, Yiwen, et autres
Publié: (2024)

A Systematic Survey on Federated Sequential Recommendation
par: Li, Yichen, et autres
Publié: (2025)

Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
par: Jiang, Xin, et autres
Publié: (2024)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
par: He, Jia-Xin, et autres
Publié: (2026)

Poisoning Federated Recommender Systems with Fake Users
par: Yin, Ming, et autres
Publié: (2024)

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
par: Bito, Ethan, et autres
Publié: (2026)

Automatic Self-supervised Learning for Social Recommendations
par: He, Xin, et autres
Publié: (2024)

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
par: Liu, Yuting, et autres
Publié: (2024)

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
par: Cai, Xufeng, et autres
Publié: (2025)

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
par: Su, Shuo, et autres
Publié: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
par: Wang, Haiyan, et autres
Publié: (2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
par: Sun, Zexu, et autres
Publié: (2024)

Continual Recommender Systems
par: Yoo, Hyunsik, et autres
Publié: (2025)

Navigating the Future of Federated Recommendation Systems with Foundation Models
par: Li, Zhiwei, et autres
Publié: (2024)

Modeling Attrition in Recommender Systems with Departing Bandits
par: Ben-Porat, Omer, et autres
Publié: (2022)

Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
par: Lyu, Fuyuan, et autres
Publié: (2025)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
par: Bao, Shilong, et autres
Publié: (2024)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
par: Wang, Xin, et autres
Publié: (2025)

Trie-Aware Transformers for Generative Recommendation
par: Xu, Zhenxiang, et autres
Publié: (2026)

Dataset-Agnostic Recommender Systems
par: Wijaya, Tri Kurniawan, et autres
Publié: (2025)

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
par: Agarwal, Arpit, et autres
Publié: (2024)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
par: Liu, Wenyi, et autres
Publié: (2024)

Building a privacy-preserving Federated Recommender system for mobile devices
par: Singh, Aasheesh
Publié: (2026)

Creator-Side Recommender System: Challenges, Designs, and Applications
par: Chen, Xiaoshuang, et autres
Publié: (2025)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
par: Tang, Xing, et autres
Publié: (2026)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
par: Huang, Heyuan, et autres
Publié: (2024)

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
par: Cao, Mengyang, et autres
Publié: (2025)

Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
par: Tu, Yuchun, et autres
Publié: (2026)