Acknowledgement
This research was supported by the National Research Foundation of Korea (No. NRF-2020R1A2B5B01002134) and BK21 FOUR (Fostering Outstanding Universities for Research) (No.5199990914048).
Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2021.11a
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- Pages.528-531
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- 2021
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Clothing-Recommendation system based on emotion and weather information
감정과 날씨 정보에 따른 의상 추천 시스템
- Ugli, Sadriddinov Ilkhomjon Rovshan (Dept of Computer Software Engineering, Soon-Chun-Hyang University) ;
- Park, Doo-Soon (Dept of Software Convergence, Soon-Chun-Hyang University)
- Published : 2021.11.04
Abstract
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.
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