Web Page Classification Using WSD and YAGO and Ontology

The recommendation system is an information filtering system which fulfills the individual need. Recommendation system provides filtered websites which helps to take decision to meet individuals need. The Semantic Web describes a web as data rather than document. It characterizes information in an understandable manner more implicitly for humans and computers. It was developed with the help of Ontology, which is the pillar of the Semantic Web. E-learning is being used widely since past ten years. Personalized recommendations are performing a vital role in the evolution of increasing e-learning portals for different courses. Individuals are facing problems to choose correct e-learning portal. In this paper we propose a model of personalized credit based recommendation for e-learners to meet their educational requirements. This paper aims to provide algorithm for implementing the recommendation system and analyses the usability for e-learners providing them a better e-learning experience.