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IEEE/ICACT20220065 Slide.04        [Big Slide]	Oral Presentation
	Previously, various learning methods for user preference have been proposed. One study proposed a personal preference learning method using Support Vector Machine (SVM). One study proposed a method of learning and recommending personal preferences using the Restricted Boltzmann machine. One study proposed a method of analyzing the relationship with preference by extracting keywords from images. Our goal is to learn the user's preference based on the user's decision, which is different from the above. To this end, the input data and the learned actual data are compared and evaluated.

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