Tag-based Collaborative Filtering in E-learning Systems
Aleksandar Kotevski, Cveta Martinovska Bande, Kotevska Radmila · Goce Delchev University Repository (Goce Delčev University of Štip) · 2013
The goal of this paper is to propose a system for giving recommendation in e-learning by using tagging technique and collaborative filtering. We plan to use PHP programming language for developing the system, and MySql database for storing information about users, learning items, tag lists and etc. Proposed system proposes and student grouping in virtual learning group, based on their knowledge and interests. Also, students can post tags for the learning materials. Collaborative filtering is using to present more relevant information to students based on how other students from the same virtual group have acted. In that content, tags posted from the students are very useful for the system to figure out which learning materials should be adequate for other students from the same virtual group. Starting point of this paper is that students with similar interests might post similar tags and similar resources might have similar tags, especially when they belong to the same virtual group. Students participating in virtual groups will produce more precise suggestion recommendation for the students, based on tags on other students that belong to the same virtual group.