News recommendation is a field of study and a practical task within data mining concerned with personalizing the delivery of news content to individual users. It investigates methodologies for filtering and suggesting relevant news articles from a large and dynamic corpus by modeling user preferences and news characteristics. This research area addresses challenges such as information overload, the temporal dynamics and textual sparsity inherent in news data, and issues related to the cold start problem for new users or articles, aiming to enhance user experience and efficient information consumption.