Publication: Smart closet: Statistical-based apparel recommendation system
Issued Date
2014-01-01
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2-s2.0-84911439188
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 2014 3rd ICT International Senior Project Conference, ICT-ISPC 2014. (2014), 155-158
Suggested Citation
Chantima Limaksornkul, Duangkamol Na Nakorn, Onidta Rakmanee, Wantanee Viriyasitavat Smart closet: Statistical-based apparel recommendation system. Proceedings of the 2014 3rd ICT International Senior Project Conference, ICT-ISPC 2014. (2014), 155-158. doi:10.1109/ICT-ISPC.2014.6923240 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/33711
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Title
Smart closet: Statistical-based apparel recommendation system
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Abstract
© 2014 IEEE. Managing closet has long been a problem especially in today's world where people are always in hurry and most of the time, end up choosing to wear the same dressing styles or the same piece of clothes. In addition, we also notice that people tend to stick with one or two dressing style and buy new clothes that are very similar to the ones they already have. This usually results in a huge waste of time and money. Our team sees such the problems and proposes to develop the Smart Closet Application to help people efficiently manage their closet, easily keep track the clothes in the closet, and effectively utilize their closet inventories. Smart Closet Application allows you to store your closet directly in your smart phone. User can add his/her own clothes and accessories into the Smart Closet system. By using this application, user can mix and match his/her personal clothes, and accessories from head to toes. The unique feature of the Smart closet application is that it can keep statistics of clothes and accessories that are frequently used and suggest the dressing style based on what is learned from the past statistics. Furthermore, this application can give suggestion on appropriate dressing styles for current weather condition and special occasions.
