Hybrid Filtering Recommendation System in an Educational Context

In education, the needs of learners are different in majority time, as each has specificities terms preferences, performance and goals. Recommendation systems have proven to be an effective way ensure this learning personalization. Already used tested other areas such e-commerce, their adaptation educational context led several research studies that tried find best approaches with expected results. This article suggests a hybridization recommendation filtering methods can improve quality recommendations. An experiment was conducted test approach combines content-based collaborative filtering. The results proved convincing.