Imagen de Portada

Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fan, Wei, Zhang, Weijia, Wang, Weiqi, Song, Yangqiu, Liu, Hao
Formato:	Preprint
Publicado:	2023
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation
por: Raj, Subham, et al.
Publicado: (2026)

Generative Conversational Recommender System
por: Zhang, Sixiao, et al.
Publicado: (2026)

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

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

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

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
por: Huang, Tao, et al.
Publicado: (2025)

Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
por: Zhang, Yi, et al.
Publicado: (2025)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
por: Yue, Zhenrui, et al.
Publicado: (2026)

Self-supervised Hierarchical Representation for Medication Recommendation
por: Liang, Yuliang, et al.
Publicado: (2024)

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

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
por: Cheng, Xinghe, et al.
Publicado: (2025)

Federated Conversational Recommender System
por: Lin, Allen, et al.
Publicado: (2025)

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

Zeroshot Listwise Learning to Rank Algorithm for Recommendation
por: Wang, Hao
Publicado: (2024)

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
por: Xin, Haoran, et al.
Publicado: (2025)

Recommending Search Filters To Improve Conversions At Airbnb
por: Li, Hao, et al.
Publicado: (2026)

Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
por: An, Guojia, et al.
Publicado: (2025)

Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation
por: Liu, Yu, et al.
Publicado: (2026)

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

Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
por: Xin, Haoran, et al.
Publicado: (2025)

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
por: Ju, Clark Mingxuan, et al.
Publicado: (2026)

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

Optimizing Conversational Product Recommendation via Reinforcement Learning
por: Liu, Kang
Publicado: (2025)

SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation
por: Jiang, Jie, et al.
Publicado: (2025)

HHFT: Hierarchical Heterogeneous Feature Transformer for Recommendation Systems
por: Yu, Liren, et al.
Publicado: (2025)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
por: Xia, Yu, et al.
Publicado: (2025)

Generative Sequential Recommendation via Hierarchical Behavior Modeling
por: Wang, Zhefan, et al.
Publicado: (2025)

HierLLM: Hierarchical Large Language Model for Question Recommendation
por: Liu, Yuxuan, et al.
Publicado: (2024)

A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options
por: Krause, Thorsten, et al.
Publicado: (2025)

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
por: Liu, Yibin, et al.
Publicado: (2025)

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
por: Hu, Jinxin, et al.
Publicado: (2026)

Dataset Regeneration for Sequential Recommendation
por: Yin, Mingjia, et al.
Publicado: (2024)

Item-Language Model for Conversational Recommendation
por: Yang, Li, et al.
Publicado: (2024)

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation
por: Cui, Yu, et al.
Publicado: (2025)

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation
por: Xiang, Xingyuan, et al.
Publicado: (2026)

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

Failure Prediction in Conversational Recommendation Systems
por: Vlachou, Maria
Publicado: (2025)