Cover Image

Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maystre, Lucas, Russo, Daniel, Zhao, Yu
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Information Retrieval Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Decision Making in Engineering System Design: A Deep Q-Learning Approach
by: Giahi, Ramin, et al.
Published: (2023)

RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline
by: Mirhosseini, Karan, et al.
Published: (2025)

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

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)

Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance
by: Obozov, Mark, et al.
Published: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
by: Shi, Wentao, et al.
Published: (2024)

LLM-Based Intelligent Agents for Music Recommendation: A Comparison with Classical Content-Based Filtering
by: Boadana, Ronald Carvalho, et al.
Published: (2025)

An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders
by: Feng, Shuang, et al.
Published: (2024)

Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
by: Thakkar, Param, et al.
Published: (2024)

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
by: Zhou, Jiahong, et al.
Published: (2023)

Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)

The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
by: Zhou, Tianyue, et al.
Published: (2024)

Influencing Bandits: Arm Selection for Preference Shaping
by: Nadkarni, Viraj, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
by: Shao, Junli, et al.
Published: (2025)

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
by: Zhu, Zhangchi, et al.
Published: (2024)

Optimizing Recommendations using Fine-Tuned LLMs
by: Cheema, Prabhdeep, et al.
Published: (2025)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
by: Yang, Weiqin, et al.
Published: (2024)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)

Item Cluster-aware Prompt Learning for Session-based Recommendation
by: Yang, Wooseong, et al.
Published: (2024)

Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
by: Bakhshi, Saeideh, et al.
Published: (2025)

Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)

LLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive Recommendation
by: Xia, Chongjun, et al.
Published: (2026)

Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
by: Zhang, Jinyu, et al.
Published: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
by: Fang, Dengzhao, et al.
Published: (2026)

BPL: Bias-adaptive Preference Distillation Learning for Recommender System
by: Kang, SeongKu, et al.
Published: (2025)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
by: Han, Xiao, et al.
Published: (2024)

Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
by: Moradi, Armin, et al.
Published: (2024)

Success Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
by: Russo, Daniel
Published: (2026)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)

Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning
by: Mohammadi, Esmaeel, et al.
Published: (2024)

Impatient Bandits: Optimizing for the Long-Term Without Delay
by: Zhang, Kelly W., et al.
Published: (2025)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
by: Choi, Jeongwhan, et al.
Published: (2023)

Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
by: Li, Shijun, et al.
Published: (2024)

Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
by: Wilm, Timo, et al.
Published: (2023)

Graph Foundation Models for Recommendation: A Comprehensive Survey
by: Wu, Bin, et al.
Published: (2025)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
by: Khalafaoui, Yasser, et al.
Published: (2024)

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
by: Hou, Yu, et al.
Published: (2025)