Kotevski, Aleksandar and Martinovska Bande, Cveta (2014) Improved algorithm for tag-based collaborative filtering. In: International Conference on Information Technology and Development of Education, 27 June 2014, Zrenjanin, Serbia.
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Abstract
Critical aspect in the modern e-learning
systems is selecting the most adequate learning materials
based on learners’ requirements, needs and knowledge
goals. It is especially important because of information
overload. In addition, e-learning systems should deliver
learning materials to learners in the format adequate to
their learning style. On the other hand, it is common
practice to use tags in order to filter the most useful
learning materials because they allow learners to mark or
highlight some learning materials with their own tags. In
that way learners contribute to organizing and retrieving
useful learning materials. Our previous research was
focused on tag-based collaborative filtering and learning
style determination in order to suggest useful learning
material in adequate format.
In this paper, we propose a new tag-based collaborative
algorithm that takes in consideration the factors that
affect the tag-based collaborative filtering in order to
develop more efficient and accurate algorithm, and
suggest the learning materials based on posted tags rating
and students rating.
The developed system was implemented at the Faculty of
Law – Bitola, and the evaluation results are shown in this
paper.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Cveta Martinovska Bande |
| Date Deposited: | 08 Aug 2014 08:13 |
| Last Modified: | 08 Aug 2014 08:13 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/10518 |
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