Cover Image

Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chunxu, Xue, Zhiheng, Long, Guodong, Zhang, Weipeng, Yang, Bo
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach
by: Zhang, Chunxu, et al.
Published: (2025)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
by: Zhang, Chunxu, et al.
Published: (2023)

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
by: Zhang, Chunxu, et al.
Published: (2024)

GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)

Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)

Federated Adaptation for Foundation Model-based Recommendations
by: Zhang, Chunxu, et al.
Published: (2024)

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

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
by: Jiang, Jing, et al.
Published: (2024)

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

Enhancing Recommendation Explanations through User-Centric Refinement
by: Zhang, Jingsen, et al.
Published: (2025)

User Invariant Preference Learning for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2025)

Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
by: Gong, Yaxin, et al.
Published: (2026)

Federated Vision-Language-Recommendation with Personalized Fusion
by: Li, Zhiwei, et al.
Published: (2024)

Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
by: Müller, Michael, et al.
Published: (2026)

LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
by: Xia, Jiafeng, et al.
Published: (2024)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
by: Xin, Haidong, et al.
Published: (2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
by: Yang, Mingdai, et al.
Published: (2025)

SAGER: Self-Evolving User Policy Skills for Recommendation Agent
by: Tao, Zhen, et al.
Published: (2026)

A Survey on Data-Centric Recommender Systems
by: Lai, Riwei, et al.
Published: (2024)

Reinforced Preference Optimization for Recommendation
by: Tan, Junfei, et al.
Published: (2025)

Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
by: Du, Jing, et al.
Published: (2024)

Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations
by: Coppolillo, Erica, et al.
Published: (2024)

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
by: Li, Xiaopeng, et al.
Published: (2026)

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

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
by: Zhang, Chen, et al.
Published: (2025)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)

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

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

Vague Preference Policy Learning for Conversational Recommendation
by: Zhang, Gangyi, et al.
Published: (2023)

The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service
by: Zhang, Luankang, et al.
Published: (2026)

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
by: Hasan, Alif Al, et al.
Published: (2024)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
by: Ju, Hyunjun, et al.
Published: (2024)

DIET: Learning to Distill Dataset Continually for Recommender Systems
by: Zhang, Jiaqing, et al.
Published: (2026)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
by: Xue, Jiawei, et al.
Published: (2025)

ChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving Interests
by: Li, Fuchun, et al.
Published: (2026)