Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : 8
First page : ( 2496) Last page : ( 2501)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00758.9

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

Partheeban N.*, Dr. Ram Sankar**

*Research Scholar, Anna University, Chennai, India

**Department of CSE, R.M.K College of Engineering and Technology, Chennai, India

Online published on 2 August, 2016.

Abstract

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.

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Keywords

E-learning, Recommendation System, Classification, Ranking.

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