Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Gangyi, Gao, Chongming, Pan, Hang, Teng, Runzhe, Li, Ruizhe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sequence-aware Large Language Models for Explainable Recommendation
by: Zhang, Gangyi, et al.
Published: (2026)
by: Zhang, Gangyi, et al.
Published: (2026)
Vague Preference Policy Learning for Conversational Recommendation
by: Zhang, Gangyi, et al.
Published: (2023)
by: Zhang, Gangyi, et al.
Published: (2023)
Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
by: Gong, Yaxin, et al.
Published: (2026)
by: Gong, Yaxin, et al.
Published: (2026)
Treatment Effect Estimation for User Interest Exploration on Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)
by: Chen, Jiaju, et al.
Published: (2024)
Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
by: Shu, Wenzheng, et al.
Published: (2025)
by: Shu, Wenzheng, et al.
Published: (2025)
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)
by: Chen, Jiaju, et al.
Published: (2024)
Position-aware Graph Transformer for Recommendation
by: Chen, Jiajia, et al.
Published: (2024)
by: Chen, Jiajia, 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)
Leveraging LLMs for Influence Path Planning in Proactive Recommendation
by: Wang, Mingze, et al.
Published: (2024)
by: Wang, Mingze, et al.
Published: (2024)
Uncertainty-aware Generative Recommendation
by: Fan, Chenxiao, et al.
Published: (2026)
by: Fan, Chenxiao, et al.
Published: (2026)
Process-Supervised LLM Recommenders via Flow-guided Tuning
by: Gao, Chongming, et al.
Published: (2025)
by: Gao, Chongming, et al.
Published: (2025)
Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
by: Chen, Ruijun, et al.
Published: (2026)
by: Chen, Ruijun, et al.
Published: (2026)
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
by: Jiang, Junzhe, et al.
Published: (2023)
by: Jiang, Junzhe, et al.
Published: (2023)
Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)
by: Mao, Wenyu, et al.
Published: (2024)
SPRec: Self-Play to Debias LLM-based Recommendation
by: Gao, Chongming, et al.
Published: (2024)
by: Gao, Chongming, et al.
Published: (2024)
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
by: Yu, Yuanqing, et al.
Published: (2024)
by: Yu, Yuanqing, et al.
Published: (2024)
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)
by: Zhang, Sixiao, et al.
Published: (2026)
Offline Evaluation Measures of Fairness in Recommender Systems
by: Rampisela, Theresia Veronika
Published: (2026)
by: Rampisela, Theresia Veronika
Published: (2026)
MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
by: Cai, Shihao, et al.
Published: (2025)
by: Cai, Shihao, et al.
Published: (2025)
Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
by: Cheng, Hailing
Published: (2026)
by: Cheng, Hailing
Published: (2026)
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)
by: Qin, Zhida, et al.
Published: (2026)
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
by: Jang, Yunah, et al.
Published: (2023)
by: Jang, Yunah, et al.
Published: (2023)
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
by: Wang, Hao
Published: (2025)
by: Wang, Hao
Published: (2025)
MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation
by: Gao, Mengyao, et al.
Published: (2025)
by: Gao, Mengyao, et al.
Published: (2025)
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
by: Wang, Siyu, et al.
Published: (2025)
by: Wang, Siyu, et al.
Published: (2025)
Snippet-based Conversational Recommender System
by: Sun, Haibo, et al.
Published: (2024)
by: Sun, Haibo, et al.
Published: (2024)
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)
by: Liu, Langming, et al.
Published: (2025)
A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation
by: Wen, Qianfeng, et al.
Published: (2025)
by: Wen, Qianfeng, et al.
Published: (2025)
Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
by: Zhao, Zihao, et al.
Published: (2025)
by: Zhao, Zihao, et al.
Published: (2025)
CASP: Support-Aware Offline Policy Selection for Two-Stage Recommender Systems
by: Chapagain, Nilson
Published: (2026)
by: Chapagain, Nilson
Published: (2026)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)
by: Lin, Allen, et al.
Published: (2025)
Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
by: Li, Pan, et al.
Published: (2024)
by: Li, Pan, et al.
Published: (2024)
ZeQR: Zero-shot Query Reformulation for Conversational Search
by: Yang, Dayu, et al.
Published: (2023)
by: Yang, Dayu, et al.
Published: (2023)
On Mitigating Data Sparsity in Conversational Recommender Systems
by: Zhang, Sixiao, et al.
Published: (2025)
by: Zhang, Sixiao, et al.
Published: (2025)
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
by: Cai, Shihao, et al.
Published: (2024)
by: Cai, Shihao, et al.
Published: (2024)
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)
Failure Prediction in Conversational Recommendation Systems
by: Vlachou, Maria
Published: (2025)
by: Vlachou, Maria
Published: (2025)
Similar Items
-
Sequence-aware Large Language Models for Explainable Recommendation
by: Zhang, Gangyi, et al.
Published: (2026) -
Vague Preference Policy Learning for Conversational Recommendation
by: Zhang, Gangyi, et al.
Published: (2023) -
Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
by: Gong, Yaxin, et al.
Published: (2026) -
Treatment Effect Estimation for User Interest Exploration on Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024) -
Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
by: Shu, Wenzheng, et al.
Published: (2025)