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Reseach Article

A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework

by Himanshu Pandey, V. K Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 17
Year of Publication: 2015
Authors: Himanshu Pandey, V. K Singh
10.5120/21793-5140

Himanshu Pandey, V. K Singh . A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework. International Journal of Computer Applications. 122, 17 ( July 2015), 18-21. DOI=10.5120/21793-5140

@article{ 10.5120/21793-5140,
author = { Himanshu Pandey, V. K Singh },
title = { A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 17 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number17/21793-5140/ },
doi = { 10.5120/21793-5140 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:49.644192+05:30
%A Himanshu Pandey
%A V. K Singh
%T A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 17
%P 18-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a multi agent based e-learning framework is proposed which is able to provide a personalized experience to the learner by recommending him study material according to his requirements, goals and calibre. A fuzzy logic based recommender agent framework is used to give further suggestions to learner to increase his/her satisfaction and provide enhanced and personalized learning experience. We also used the Matlab to simulate our recommender agent.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-agent e-learning fuzzy logic personalization recommender system.