Home / Articles
No Article found
| PERSONALISED NEWS WEBSITE |
|
|
Author Name Prranesh A, Sharvesh G, Ashwin A, Raghul Vignesh B V Abstract The personalized news website aims to revolutionize how users consume digital news by offering a tailored experience based on individual preferences,
interests, and browsing habits. By leveraging advanced algorithms and machine learning models, the platform curates news content from various sources, ensuring that users receive real-time updates on topics that matter most to them. Users can customize their news feed by selecting specific categories, topics, or geographical areas, while also benefiting from recommendations based on their reading history. This dynamic approach not only saves time but also
enhances user engagement by delivering relevant, high-quality content. The website features a clean, intuitive interface, real-time notifications, and interactive tools, such as saving articles and sharing content on social media, to foster an active and informed user base. Ultimately, the goal is to provide a seamless and personalized news experience that adapts to each user's unique needs, preferences, and lifestyle.
Keywords: Personalized news, Tailored experience, Machine learning
Published On : 2024-12-16 Article Download : 
|
|
