fizamusthafa/mooc-recommender-nlp
The MOOC Recommender System utilizes NLP techniques for course recommendations in Massive Open Online Courses (MOOCs). It processes raw data, leveraging Tokenization, Porter Stemming, Cosine Similarity, etc., to extract tags from course descriptions, summaries, syllabuses, instructors, and subjects.
This tool helps you discover new online courses by suggesting ones similar to a course you already like. You input the title of an online course, and it provides a list of other courses with similar content, descriptions, instructors, and subjects. It's ideal for anyone looking to expand their knowledge with relevant online learning options.
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Use this if you are a student, professional, or lifelong learner looking for online courses that match your interests or current studies.
Not ideal if you need recommendations based on factors beyond course content, such as course difficulty, user reviews, or instructor ratings.
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Last pushed
Aug 19, 2023
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