Aplicação de técnicas de recomendação de recursos educacionais em um campus universitário.

The development of the Internet over the years has brought with it a massive increase in the amount of data present on the network, making the search for specific items a slow and complex task. Thus, tools have emerged with the goal of filtering information within websites and platforms, leaving aside everything that is irrelevant and providing the user with only what is likely to interest them. These tools are called recommendation systems. In addition, the field of education has also been affected by the problem of data overload, especially in recent years with the popularization of online education, where students demand new methods of research and learning beyond the classroom. Therefore, the objective of this article is to develop a personalized recommendation system for educational resources that, based on users' interests, makes predictions and generates lists of items that match their interests. It is also hoped that this platform can help in the integration and development of intelligent university campuses. [ABSTRACT FROM AUTHOR]