Development of a Recommendation News Generator Based on Machine Learning

Abstract

This article has explored the development of a recommendation news generator based on machine learning, addressing the complexities of news article discovery in the digital era. The results indicate that the machine learning-driven recommendation system enhances the news consumption experience, offering a potential solution to the challenges faced by readers in accessing relevant and credible news articles.

Keywords: news generator, machine learning, recommendation system, personalization, news curation, content recommendation, news discovery, user preferences, news aggregator, news consumption, news filtering, information retrieval, natural language processing (NLP), user engagement, user behavior analysis, con

JEL Classification: news