An Intelligent Recommendation Drilling Platform for Online Computer Education

The continuous innovation of Internet technology makes online education an important way for IT talents to learn. Although many computer learning platforms can provide users with massive online education resources, they do not meet the individual needs of different users well, lacking drilling and interactive links. We implemented an intelligent recommendation drilling platform, striving to personalize learning resources, and integrate learning and drilling. The platform provides functional modules such as question bank learning, competition world, online Q & A, and excellent note section. In the recommendation module, the platform's original data is processed as data sets, and a hybrid recommendation model is trained to provide users with more accurate and valuable recommendations.