Abstract
A News Paper have many parts or sections such as sports, entertainment, advertisements, national, international and local news. This all parts or sections of news paper have their own importance. Sometimes they have related information but in different section or different newspaper. To overcome from this problem they follow News Recommendation System. This research paper investigate the need of news recommendation using machine learning approach to make it more efficient and better, Hybrid Approach can help to recommend users based on Supervised and Unsupervised using Machine Learning and TF-IDF.