과제정보
This research was supported by the National Research Foundation of Korea (No. NRF-2020R1A2B5B01002134) and BK21 FOUR (Fostering Outstanding Universities for Research) (No.5199990914048).
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Nowadays recommendation systems are so ubiquitous, where our many decisions are being done by the means of them. We can see recommendation systems in all areas of our daily life. Therefore the research of this sphere is still so active. So far many research papers were published for clothing recommendations as well. In this paper, we propose the clothing-recommendation system according to user emotion and weather information. We used social media to analyze users' 6 basic emotions according to Paul Eckman theory and match the colour of clothing. Moreover, getting weather information using visualcrossing.com API to predict the kind of clothing. For sentiment analysis, we used Emotion Lexicon that was created by using Mechanical Turk. And matching the emotion and colour was done by applying Hayashi's Quantification Method III.
This research was supported by the National Research Foundation of Korea (No. NRF-2020R1A2B5B01002134) and BK21 FOUR (Fostering Outstanding Universities for Research) (No.5199990914048).