Review of personalized recommendation techniques for learners in e-learning systems

Saman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin, Shahrul Azman Mohd Noah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

With the rapidly increasing learning materials and learning resources, either offline or online, it is quite difficult to find suitable materials based on learner's need. Recommender systems help learners find the appropriate learning materials in which they would need to learn. This paper discusses about the personalized recommendation systems in e-learning and compares their recommendation techniques. Two concepts are the main discussion topics in this research. The first one is about the learner's requirement and the second one in about the personalized recommendation technique. Finally, this study proposes the knowledge based recommendation system as suitable recommendation technique. This recommendation aims to recommend to the learner, some materials based on the learner's need. By using the semantic relationship between learning materials and the learner's need, system can select the suitable materials as a recommendation to the learner. To develop the proposed knowledge based recommendation system is the next work for the future.

Original languageEnglish
Title of host publication2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
Pages277-281
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Recommender systems
Learning systems
Semantics

Keywords

  • e-learning
  • ontology
  • personalized
  • recommender system
  • semantic web

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Shishehchi, S., Banihashem, S. Y., Mat Zin, N. A., & Mohd Noah, S. A. (2011). Review of personalized recommendation techniques for learners in e-learning systems. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 (pp. 277-281). [5995802] https://doi.org/10.1109/STAIR.2011.5995802

Review of personalized recommendation techniques for learners in e-learning systems. / Shishehchi, Saman; Banihashem, Seyed Yashar; Mat Zin, Nor Azan; Mohd Noah, Shahrul Azman.

2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 277-281 5995802.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shishehchi, S, Banihashem, SY, Mat Zin, NA & Mohd Noah, SA 2011, Review of personalized recommendation techniques for learners in e-learning systems. in 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011., 5995802, pp. 277-281, 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/STAIR.2011.5995802
Shishehchi S, Banihashem SY, Mat Zin NA, Mohd Noah SA. Review of personalized recommendation techniques for learners in e-learning systems. In 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 277-281. 5995802 https://doi.org/10.1109/STAIR.2011.5995802
Shishehchi, Saman ; Banihashem, Seyed Yashar ; Mat Zin, Nor Azan ; Mohd Noah, Shahrul Azman. / Review of personalized recommendation techniques for learners in e-learning systems. 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. pp. 277-281
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