:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xudong, Hao, Qingbo, Xiao, Yingyuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.08044
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
by: Wang, Yuanrong, et al.
Published: (2025)

DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee
by: Li, Yingyuan, et al.
Published: (2025)

Poisoning Federated Recommender Systems with Fake Users
by: Yin, Ming, et al.
Published: (2024)

Federated Graph Learning for Cross-Domain Recommendation
by: Yang, Ziqi, et al.
Published: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
by: Yang, Zhe, et al.
Published: (2024)

Scalable unsupervised feature selection via weight stability
by: Zhang, Xudong, et al.
Published: (2025)

Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)

Graph Federated Learning for Personalized Privacy Recommendation
by: Na, Ce, et al.
Published: (2025)

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
by: Cai, Zhen, et al.
Published: (2024)

CFRecs: Counterfactual Recommendations on Real Estate User Listing Interaction Graphs
by: Mousavi, Seyedmasoud, et al.
Published: (2026)

Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024)

A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews
by: Aravani, Lavrentia, et al.
Published: (2024)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)

Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)

Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
by: Mishra, Ashirbad, et al.
Published: (2024)

FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
by: Zhang, Haoming, et al.
Published: (2024)

DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
by: Chen, Zekai, et al.
Published: (2026)

Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
by: Wang, Chao, et al.
Published: (2025)

Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations
by: Shen, Chenglei, et al.
Published: (2026)

Influence of Recommender Systems on Users: A Dynamical Systems Analysis
by: Lankireddy, Prabhat, et al.
Published: (2024)

De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
by: Burke, Robin, et al.
Published: (2025)

Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
by: Balcer, Klaudia, et al.
Published: (2025)

End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024)

Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)

Federated Recommendation with Additive Personalization
by: Li, Zhiwei, et al.
Published: (2023)

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
by: Wang, Jiaqi, et al.
Published: (2024)

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

Federated Recommender System with Data Valuation for E-commerce Platform
by: Park, Jongwon, et al.
Published: (2025)

How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
by: Liu, Feng, et al.
Published: (2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
by: Öztürk, Sümeyye, et al.
Published: (2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)

Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024)

Uncertainty-Calibrated Recommendations for Low-Active Users
by: Zou, Bob Junyi, et al.
Published: (2026)

Explainable Graph Representation Learning via Graph Pattern Analysis
by: Wang, Xudong, et al.
Published: (2025)

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
by: Yan, Bo, et al.
Published: (2023)

GeMi: A Graph-based, Multimodal Recommendation System for Narrative Scroll Paintings
by: Dutta, Haimonti, et al.
Published: (2026)

Adversarial Text Rewriting for Text-aware Recommender Systems
by: Oh, Sejoon, et al.
Published: (2024)

Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)