Additional Parameters that Affect the Tag-based Collaborative Filtering
KeywordsComputer and information sciences
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AbstractSelecting the most useful learning resources is very important aspect in the modern e-learning systems as well as distributing learning content in adequate format. That is e-learning systems need to have ability to determine student needs and their most adequate learning style. Our previous research was focused on tag-based collaborative filtering and learning style determination in order to suggest useful learning material in adequate format and we have proposed an algorithm for tag-based collaborative filtering. Also, we focused on some parameters that are important for tag-based collaborative filtering too. In this paper we are focused on additional parameters that affect the process of tag-based collaborative filtering. In that context, we consider students previous knowledge level, tag's ratings and author's ratings of materials as factors that have impact on the tab-based collaborative filtering.
TypeConference or Workshop Item
Kotevski, Aleksandar and Martinovska Bande, Cveta (2015) Additional Parameters that Affect the Tag-based Collaborative Filtering. In: 6th Conference on e-Learning, 24-25 Sept 2015, Belgrade, Serbia.