Automatiс Recommendation of Video for Online School Lesson Using Neuro-Linguistic Programming 32
Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia
PhD in Physics and Matematics, Associate Professor of the Department of Mathematical Cybernetics, Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia
The article describes an approach to automating the matching of video materials to text slides in English classes in an online school by vectorizing slide text and video subtitles using the TF-IDF measure and maximizing the cosine similarity measure of these vector representations.
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