Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations
Publication Type:
Edited Conference Meeting Proceeding
Abstract:
The main contribution of this work is the comparison of three user modeling strategies based on job titles, educational fields and skills in LinkedIn profiles, for personalized MOOC recommendations in a cold start situation. Results show that the skill-based user modeling strategy performs best, followed by the job- and edu-based strategies.
Conference Name:
24th Conference on User Modeling, Adaptation and Personalization
Proceedings:
24th Conference on User Modeling, Adaptation and Personalization
Digital Object Identifer (DOI):
10.1145/2930238.2930264
Publication Date:
11/07/2016
Conference Location:
Canada
Research Group:
Institution:
National University of Ireland, Galway (NUIG)
Open access repository:
Yes
Publication document:
