Hybrid Fuzzy Recommendation System for Enhanced E-learning

Conference proceedings article

Authors / Editors

Selvaraj, Rajalakshmi

Research Areas

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Publication Details

Author list: Appalla P, Selvaraj R, Kuthadi VM, Marwala T

Publisher: Springer Science Business Media

Place: NEW YORK

Publication year: 2018

Journal: Lecture Notes in Electrical Engineering (1876-1100)

Journal acronym: LECT NOTES ELECTR EN

Volume number: 442

Start page: 21

End page: 32

Number of pages: 12

ISBN: 978-981-10-4761-9

eISBN: 978-981-10-4762-6

ISSN: 1876-1100

eISSN: 1876-1119

Languages: English-Great Britain (EN-GB)

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Abstract

The heterogeneous e-learning materials are generated in the progress of online e-learning technique. The system of e-learning is providing huge opportunities for learning online for learners with enhanced and efficient practices of learning. The system of e-learning needs to cater for the individual learner requirements including learner's profile and activities of learning in the form of tree structure. There are several issues of pedagogical learning. In case of learning phenomenon, this is too difficult for any learner or user to select their suitable learning resources without having exact background knowledge. To address these issues, this research is proposing two enhanced techniques called as Hybrid Fuzzy-based Matching Recommendation Algorithm and Collaborative Sequential Map Filtering Algorithm. This proposed approach recommends a new method to assist users on their individual as well as collaborative learning methods for accessing learning resources.

Keywords

Collaborative filter, Fuzzy tree matching, Knowledge-based recommendation, Personalize, Sequential map

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