Design And Implementation Of Adaptive Recommendation System

Maged Elazony, Ahmed Khalifa, Sayed Nouh, Mohamed Hussein
2018 Zenodo  
E-learning offers advantages for E-learners by making access to learning objects at any time or place, very fast, just-in-time and relevance. However, with the rapid increase of learning objects and it is syntactically structured it will be time-consuming to find contents they really need to study. In this paper, we design and implementation of knowledge-based industrial reusable, interactive web-based training and use semantic web based e-learning to deliver learning contents to the learner in
more » ... flexible, interactive, and adaptive way. The semantic and recommendation and personalized search of Learning objects is based on the comparison of the learner profile and learning objects to determine a more suitable relationship between learning objects and learner profiles. Therefore, it will advise the e-learner with most suitable learning objects using the semantic similarity.
doi:10.5281/zenodo.1254142 fatcat:li4axbfdrzccdlttf5kpvalnry