SoloCademy Course recommendation system / Rugina Alkassem , Mhd Mouaz Tello , Ameen Khalil and Omar Al-laham ; supervised by Nada Ghneim and Khloud Al-Jallad روجينا القاسم ، محمد معاذ محمد سامح تللو ، امين خليل و عمر اللحام ؛ إشراف ندى غنيم و خلود الجلاد
Publication year: 2023
ISBN: CCE00105
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This computer science project utilizes fine-tuned GPT-2, TF-IDF, and cosine similarity to recommend online courses based on user profiles aimed to help them increase their educational attainment and development in several fields, in addition to helping school students to repair the deficiency in various subjects. It covers school-level and college-level courses and enables users to enroll in suggested courses. The system analyzes skills, major, and age to generate personalized recommendations. TF-IDF and cosine similarity improve course matching. It caters to students and graduates, fostering continuous education and skill development. It simplifies the enrollment process for recommended courses.
Subject: Computer sceince, Courses, Similarity, University, School, Application, Recommendation system, Community, GPT-2, Cosine similarity, TF-IDF
