Abstract
The E-learning infrastructure is growing rapidly, choosing the right skills set to built a career in an area of interest sometimes can be mystifying and hence a recommendation system is helpful to narrow down the information or choices based on user's data or preferences. A recommender system automates the process of filtering and make it feasible for a user to search through vast information available online and thus provide a personalized experience for the user. This study has attempted to implement a recommender system based on content based filtering and Machine Learning algorithm to filter skills and courses available digitally based on user's input information.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
