Personalized Recommendations in e-Learning System using Web Mining
Personalization is a subclass of information filtering system that seek to predict the 'Ratings' or 'Preferences' that a user would give to an items, they had not yet considered, using a model built from the characteristics of an item (content-based approaches or collaborative filtering approaches). Web mining is an emerging field of data mining used to provide personalization on the web. It consist three major categories i.e. web content mining, web usage mining, and web structure mining. In this paper, a simplified personalized recommendation system using web usage mining and content mining is proposed to provide personalized search results to learners.