Imagen de Portada

An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Jun, Wu, Likang, Liu, Qi, Yang, Yu
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity
por: Fan, Ziwei, et al.
Publicado: (2023)

CSRec: Rethinking Sequential Recommendation from A Causal Perspective
por: Liu, Xiaoyu, et al.
Publicado: (2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
por: Zhao, Hongke, et al.
Publicado: (2024)

SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
por: Xiao, Wei, et al.
Publicado: (2025)

When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
por: Chai, Jin, et al.
Publicado: (2025)

Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation
por: Yu, Xiaohan, et al.
Publicado: (2024)

Token-Controlled Re-ranking for Sequential Recommendation via LLMs
por: Dai, Wenxi, et al.
Publicado: (2025)

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
por: Dzhoha, Andrii, et al.
Publicado: (2025)

Robust Reinforcement Learning Objectives for Sequential Recommender Systems
por: Mozifian, Melissa, et al.
Publicado: (2023)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
por: Wei, Shaowei, et al.
Publicado: (2024)

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
por: Yang, Ruochen, et al.
Publicado: (2026)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
por: Li, Wuchao, et al.
Publicado: (2024)

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
por: Yoo, Hyunsik, et al.
Publicado: (2025)

Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems
por: Chen, Xiaoshuang, et al.
Publicado: (2024)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
por: Wang, Siyu, et al.
Publicado: (2024)

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

Efficient Large-Scale Cross-Domain Sequential Recommendation with Dynamic State Representations
por: Loureiro, Manuel V., et al.
Publicado: (2025)

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
por: Zhang, Hongyu, et al.
Publicado: (2023)

Can Small Language Models be Good Reasoners for Sequential Recommendation?
por: Wang, Yuling, et al.
Publicado: (2024)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
por: Dong, Yue, et al.
Publicado: (2025)

A Systematic Survey on Federated Sequential Recommendation
por: Li, Yichen, et al.
Publicado: (2025)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
por: Wang, Shuyao, et al.
Publicado: (2024)

Producer-Fairness in Sequential Bundle Recommendation
por: Rio, Alexandre, et al.
Publicado: (2025)

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders
por: Jiao, Cathy, et al.
Publicado: (2026)

DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
por: Lichtenberg, Jan Malte, et al.
Publicado: (2025)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
por: Tan, Juntao, et al.
Publicado: (2023)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
por: Liu, Langming, et al.
Publicado: (2025)

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

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
por: Zhai, Jiaqi, et al.
Publicado: (2024)

Measuring Recency Bias In Sequential Recommendation Systems
por: Oh, Jeonglyul, et al.
Publicado: (2024)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
por: Wang, Siyu, et al.
Publicado: (2025)

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

EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems
por: Liu, Peng, et al.
Publicado: (2024)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
por: Zhou, Xiaofan, et al.
Publicado: (2026)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
por: Shi, Wentao, et al.
Publicado: (2024)

Autoregressive Generation Strategies for Top-K Sequential Recommendations
por: Volodkevich, Anna, et al.
Publicado: (2024)

Temporal Linear Item-Item Model for Sequential Recommendation
por: Park, Seongmin, et al.
Publicado: (2024)

Improving Sequential Query Recommendation with Immediate User Feedback
por: Parambath, Shameem A Puthiya, et al.
Publicado: (2022)

Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
por: Elsayed, Shereen, et al.
Publicado: (2026)