An Efficient Document Ranking Algorithm and Classification for Recommending E-Content

E-learning is an important education media in the current internet scenario. However, selection of suitable content for effective and fast learning is a challenging problem to the learners. E-learning content selection through group discussions using social networks is a new approach that helps the learners to choose the suitable content from the web. For this purpose, we propose a new content recommendation system for recommending suitable e-content for the e-learners. This content recommendation system uses an existing classification algorithm and the proposed ranking algorithm for making effective decision over the e-content for the respective users.