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IEEE/ICACT20240357 Slide.14        [Big Slide]	Oral Presentation
	First, the Data Preprocessing process. Select key objects required in a video recommendation system based on object frequency. We use the YOLO deep learning model to train a deep learning-based object recognition model on the labeled image dataset to detect and extract objects based on frames. Since the YOLO deep learning model is trained using the COCO Dataset, it can detect and classify a total of 91 objects, from 1 to 91. In addition, we extract the voice from the video separately and then use STT technology to extract the script according to the frame. To apply machine learning techniques to the extracted script in natural language form, we apply text mining techniques to quantify it.

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