International Journal of Advanced Research in Computer and Communication Engineering

Abstract: With the rapid growth of online news platforms, users often face information overload due to the availability of large volumes of news content. Most existing news systems either provide generic news feeds or rely completely on automated recommendation techniques, which may not always reflect user intent. This paper presents News-Mania, a news recommendation system that combines manual personalization and AI-based personalization to deliver relevant news.

In the proposed system, users manually select their preferred news categories, which ensures direct control over content selection. In addition, Artificial Intelligence analyzes user interaction data such as reading behavior and previously viewed articles to further refine recommendations. News articles are first fetched from online sources and stored in a database before being processed for recommendation. This hybrid approach improves recommendation accuracy, enhances user satisfaction, and reduces irrelevant content exposure.

Keywords: Artificial Intelligence, News Recommendation System, Manual Personalization, AI Personalization, User Preferences.

Downloads: | DOI: 10.17148/IJARCCE.2026.151103