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- W4377969679 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." @default.
- W4377969679 created "2023-05-25" @default.
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- W4377969679 date "2023-04-11" @default.
- W4377969679 modified "2023-10-17" @default.
- W4377969679 title "Course Recommendation System using Content-based Filtering" @default.
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- W4377969679 doi "https://doi.org/10.1109/icoei56765.2023.10126063" @default.
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