Improved algorithm for tag-based collaborative filtering

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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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

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