Federated Conversational Recommender System
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Allen, Wang, Jianling, Zhu, Ziwei, Caverlee, James |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Countering Mainstream Bias via End-to-End Adaptive Local Learning
by: Pan, Jinhao, et al.
Published: (2024)
by: Pan, Jinhao, et al.
Published: (2024)
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Flow Matching for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2025)
by: Liu, Chengkai, et al.
Published: (2025)
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
by: Bismay, Millennium, et al.
Published: (2024)
by: Bismay, Millennium, et al.
Published: (2024)
PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions
by: Kim, Jason, et al.
Published: (2026)
by: Kim, Jason, et al.
Published: (2026)
Towards An Efficient LLM Training Paradigm for CTR Prediction
by: Lin, Allen, et al.
Published: (2025)
by: Lin, Allen, et al.
Published: (2025)
Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)
by: Zhang, Sixiao, et al.
Published: (2026)
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap
by: Zhang, Weizhi, et al.
Published: (2025)
by: Zhang, Weizhi, et al.
Published: (2025)
Failure Prediction in Conversational Recommendation Systems
by: Vlachou, Maria
Published: (2025)
by: Vlachou, Maria
Published: (2025)
Snippet-based Conversational Recommender System
by: Sun, Haibo, et al.
Published: (2024)
by: Sun, Haibo, et al.
Published: (2024)
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025)
by: Zhu, Yaochen, et al.
Published: (2025)
On Mitigating Data Sparsity in Conversational Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2025)
by: Zhang, Sixiao, et al.
Published: (2025)
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025)
by: Zhu, Yaochen, et al.
Published: (2025)
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
by: Yin, Kai, et al.
Published: (2025)
by: Yin, Kai, et al.
Published: (2025)
On the Reliability of User-Centric Evaluation of Conversational Recommender Systems
by: Müller, Michael, et al.
Published: (2026)
by: Müller, Michael, et al.
Published: (2026)
CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems
by: Bernard, Nolwenn, et al.
Published: (2024)
by: Bernard, Nolwenn, et al.
Published: (2024)
Cross-Domain Recommendation Meets Large Language Models
by: Vajjala, Ajay Krishna, et al.
Published: (2024)
by: Vajjala, Ajay Krishna, et al.
Published: (2024)
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)
by: Wang, Zhefan, et al.
Published: (2024)
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
by: Yuan, Wei, et al.
Published: (2026)
by: Yuan, Wei, et al.
Published: (2026)
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
by: Bernard, Nolwenn, et al.
Published: (2024)
by: Bernard, Nolwenn, et al.
Published: (2024)
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2025)
by: Wang, Jianling, et al.
Published: (2025)
A Logical-Rule Autoencoder for Interpretable Recommendations
by: Pan, Jinhao, et al.
Published: (2026)
by: Pan, Jinhao, et al.
Published: (2026)
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)
by: Wang, Haoting, et al.
Published: (2025)
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
by: Wei, Yibiao, et al.
Published: (2025)
by: Wei, Yibiao, et al.
Published: (2025)
Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
by: Zhang, Gangyi, et al.
Published: (2024)
by: Zhang, Gangyi, et al.
Published: (2024)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)
by: Yue, Zhenrui, et al.
Published: (2026)
Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
by: Bernard, Nolwenn, et al.
Published: (2025)
by: Bernard, Nolwenn, et al.
Published: (2025)
A Standardized Re-evaluation of Conversational Recommender Systems on the ReDial Dataset
by: Kostric, Ivica, et al.
Published: (2026)
by: Kostric, Ivica, et al.
Published: (2026)
Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)
by: Chen, Nuo, et al.
Published: (2025)
User Welfare Optimization in Recommender Systems with Competing Content Creators
by: Yao, Fan, et al.
Published: (2024)
by: Yao, Fan, et al.
Published: (2024)
LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
by: Fan, Wei, et al.
Published: (2023)
by: Fan, Wei, et al.
Published: (2023)
A Multi-Agent Conversational Recommender System
by: Fang, Jiabao, et al.
Published: (2024)
by: Fang, Jiabao, et al.
Published: (2024)
Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
by: Li, Yuan-Chi, et al.
Published: (2026)
by: Li, Yuan-Chi, et al.
Published: (2026)
Robust Federated Contrastive Recommender System against Model Poisoning Attack
by: Yuan, Wei, et al.
Published: (2024)
by: Yuan, Wei, et al.
Published: (2024)
Similar Items
-
Countering Mainstream Bias via End-to-End Adaptive Local Learning
by: Pan, Jinhao, et al.
Published: (2024) -
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
by: Liu, Chengkai, et al.
Published: (2024) -
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024) -
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2024) -
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)