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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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A Recommendation System for Online Courses

Nowadays there are many courses available for students, and sometimes it is hard for a student to filter all this data and choose which course to take. This work aims to build a system to suggest online courses to users based on their profile and the similarity with other users. For this work we focused on three techniques to extract the information to obtain the desired data: Content Based, Collaborative filtering and Hybrid. Through this we can provide our user a much better experience, providing them more redirected data or even courses they did not know existed.

Author(s):

David Estrela    
School of Management and Technology – Polytechnic of Porto
Portugal

Sergio batista    
School of Management and Technology – Polytechnic of Porto
Portugal

Diogo Martinho    
GECAD
Portugal

Goreti Marreiros    
GECAD/ISEP-IPP
Portugal

 

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