@inproceedings{f8385d9152284266ad65a61d96393ad3,
title = "Fashion Recommendation with Social Intelligence on Personality and Trends",
abstract = "Today's online shopping is very prosperous, and fashion shopping online has also expanded rapidly. Effective fashion recommendation has become an increasingly important issue. In the past, most of the research focused on personal recommendation, however personality change with the environment in addition to time and space such that this trait never stagnate. Fashion reflects not only a person's character, but also his/her person's current personality influenced by the larger environment. The purpose of this study is to design a recommendation mechanism, which could infer fashion trends derived from social commerce platform and accurately recommend appropriate clothing for the users.",
keywords = "Fashion, Recommendation, Social Intelligence, Trends",
author = "Hsieh, {Chin Yu} and Li, {Yung Ming}",
year = "2019",
month = jul,
doi = "10.1109/IIAI-AAI.2019.00027",
language = "English",
series = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "85--90",
booktitle = "Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019",
address = "美國",
note = "8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 ; Conference date: 07-07-2019 Through 11-07-2019",
}