recommendersüsteeme
Recommender systems, also known as recommendation engines, are a type of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item. They are widely used in various applications, from e-commerce and entertainment to news and social networking. The primary goal of a recommender system is to help users discover items they might be interested in, thereby improving user experience and engagement.
There are several common approaches to building recommender systems. Content-based filtering recommends items similar to those
Recommender systems play a crucial role in the digital economy by increasing sales, enhancing user satisfaction,