We provide a text-based recommendation engine that is dependent on the content of the articles as well as the date of the article. The news recommender makes sure the recommended articles are up-to-date and are related to the article that is chosen. Additionally, this engine is provided as an API and can be integrated into any website.
As a result of this recommendation system, users will more likely to spend more time-consuming content from recommended articles because users will get better content discovery and efficient content delivery.