Research Article

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

by  Himanshu Pandey, V. K Singh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Issue 17
Published: July 2015
Authors: Himanshu Pandey, V. K Singh
10.5120/21793-5140
PDF

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 },
                        year    = { 2015 },
                        volume  = { 122 },
                        number  = { 17 },
                        pages   = { 18-21 },
                        doi     = { 10.5120/21793-5140 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Himanshu Pandey
                        %A V. K Singh
                        %T A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework%T 
                        %J International Journal of Computer Applications
                        %V 122
                        %N 17
                        %P 18-21
                        %R 10.5120/21793-5140
                        %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.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

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

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