Cover Image

Generative Conversational Recommender System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Sixiao, Liu, Mingrui, Long, Cheng
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

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2026)

On Mitigating Data Sparsity in Conversational Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2025)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)

Data Watermarking for Sequential Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2024)

Watermarking Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
by: Li, Yicong, et al.
Published: (2024)

Snippet-based Conversational Recommender System
by: Sun, Haibo, et al.
Published: (2024)

Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)

Failure Prediction in Conversational Recommendation Systems
by: Vlachou, Maria
Published: (2025)

A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2025)

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
by: Zhang, Gangyi, et al.
Published: (2024)

Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)

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

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems
by: Bernard, Nolwenn, et al.
Published: (2024)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
by: Zou, Jie, et al.
Published: (2024)

Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
by: Fan, Wei, et al.
Published: (2023)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)

Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
by: Yuan, Wei, et al.
Published: (2026)

Identifying Breakdowns in Conversational Recommender Systems using User Simulation
by: Bernard, Nolwenn, et al.
Published: (2024)

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation
by: Xia, Yunwen, et al.
Published: (2024)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
by: Zhang, Hao, et al.
Published: (2023)

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
by: Huang, Zhirong, et al.
Published: (2024)

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
by: Chen, Can, et al.
Published: (2023)

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025)

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

A Standardized Re-evaluation of Conversational Recommender Systems on the ReDial Dataset
by: Kostric, Ivica, et al.
Published: (2026)

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025)

Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
by: Bernard, Nolwenn, et al.
Published: (2025)

Deep Research for Recommender Systems
by: Ou, Kesha, et al.
Published: (2026)

Learning Recommender Systems with Soft Target: A Decoupled Perspective
by: Zhang, Hao, et al.
Published: (2024)

Towards Automated Model Design on Recommender Systems
by: Zhang, Tunhou, et al.
Published: (2024)

Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
by: Tajiri, Manato, et al.
Published: (2025)

A Multi-Agent Conversational Recommender System
by: Fang, Jiabao, et al.
Published: (2024)

Content-Based Collaborative Generation for Recommender Systems
by: Wang, Yidan, et al.
Published: (2024)

Fairness and Diversity in Recommender Systems: A Survey
by: Zhao, Yuying, et al.
Published: (2023)

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
by: Wei, Yibiao, et al.
Published: (2025)

UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems
by: Bernard, Nolwenn, et al.
Published: (2025)