Cover Image

Improving News Recommendations through Hybrid Sentiment Modelling and Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kingenga, Eunice, Nkongolo, Mike Wa
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Smart Sentiment Analysis-based Search Engine Classification Intelligence
by: Nkongolo, Mike
Published: (2023)

Enhancing search engine precision and user experience through sentiment-based polysemy resolution
by: Nkongolo, Mike
Published: (2023)

Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation
by: Qu, Liang, et al.
Published: (2025)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)

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

Leveraging Media Frames to Improve Normative Diversity in News Recommendations
by: Dattawad, Sourabh, et al.
Published: (2025)

A Hybrid Recommendation Framework for Enhancing User Engagement in Local News
by: Pourashraf, Payam, et al.
Published: (2025)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
by: Wang, Jie, et al.
Published: (2024)

Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)

Curr-RLCER:Curriculum Reinforcement Learning For Coherence Explainable Recommendation
by: Pan, Xiangchen, et al.
Published: (2026)

Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
by: Li, Pan, et al.
Published: (2024)

Formalizing Multimedia Recommendation through Multimodal Deep Learning
by: Malitesta, Daniele, et al.
Published: (2023)

Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling
by: Subbiah, Anushya, et al.
Published: (2024)

Reinforced Preference Optimization for Recommendation
by: Tan, Junfei, et al.
Published: (2025)

Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
by: Chen, Hao, et al.
Published: (2025)

Conversational Recommendation System using NLP and Sentiment Analysis
by: Talegaonkar, Piyush, et al.
Published: (2025)

Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
by: Pan, Le, et al.
Published: (2025)

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

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
by: Shu, Wenzheng, et al.
Published: (2025)

Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems
by: Wang, Zongwei, et al.
Published: (2026)

Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
by: Ding, Hongxun, et al.
Published: (2026)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
by: Wang, Lin, et al.
Published: (2026)

Coherency Improved Explainable Recommendation via Large Language Model
by: Liu, Shijie, et al.
Published: (2025)

Improving Sequential Recommendations with LLMs
by: Boz, Artun, et al.
Published: (2024)

Revisiting Language Models in Neural News Recommender Systems
by: Zhao, Yuyue, et al.
Published: (2025)

Scaling New Frontiers: Insights into Large Recommendation Models
by: Guo, Wei, et al.
Published: (2024)

Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)

xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
by: Cao, Yang, et al.
Published: (2025)

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

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward
by: Zhang, Yi, et al.
Published: (2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)

Foundation Models for Recommender Systems: A Survey and New Perspectives
by: Huang, Chengkai, et al.
Published: (2024)

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
by: Hardy, et al.
Published: (2025)

RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
by: Rajapakse, Dilina Chandika, et al.
Published: (2024)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
by: Gao, Jingtong, et al.
Published: (2026)

Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
by: Li, Chuang, et al.
Published: (2025)

SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
by: Wang, Binhao, et al.
Published: (2025)

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
by: Hänsch, S., et al.
Published: (2026)

Improving Minimax Group Fairness in Sequential Recommendation
by: Acharya, Krishna, et al.
Published: (2025)

Improving Out-of-Vocabulary Handling in Recommendation Systems
by: Shiao, William, et al.
Published: (2024)