Sistema de recomendação de vídeos educacionais: um estudo de caso no You tube

Abstract

Systems of Recommendation have been the subject of researches with applications in several areas, such as: commerce, health and education. Those focused on education allow the recommendation of books, articles and educational videos, taking into account the interests of users. The amount of educational videos available on the Internet hás been growing over time. Both private and autonomous initiatives provide videos in the world-wide network of computers with videos on various areas of knowledge. On YouTube, for example, you can find various educational channels, with varying levels and themes. However, with the ease of making these videos available, there is na overload of information, making the choice of users difficult and arduous. Thus, it is necessary to create tools that help in the selection of these educational videos, taking into account significant aspects for each user. This work proposes a presentation of both the functionalities and the techniques, in a detailed way, used for the recommendation of educational videos. For proof of concept, the YouTube site was used as a repository of videos, as this is one of the main video sites on the Internet.