Title: What Dress Fits Me Best? Fashion Recommendation on the Clothing Style for Personal Body Shape
Authors: Hidayati, Shintami Chusnul
Hsu, Cheng-Chun
Chang, Yu-Ting
Hua, Kai-Lung
Fu, Jianlong
Cheng, Wen-Huang
交大名義發表
National Chiao Tung University
Keywords: Fashion analysis;recommender system;human body shape;clothing style;correlation
Issue Date: 1-Jan-2018
Abstract: Clothing is an integral part of life. Also, it is always an uneasy task for people to make decisions on what to wear. An essential style tip is to dress for the body shape, i.e., knowing one's own body shape (e.g., hourglass, rectangle, round and inverted triangle) and selecting the types of clothes that will accentuate the body's good features. In the literature, although various fashion recommendation systems for clothing items have been developed, none of them had explicitly taken the user's basic body shape into consideration. In this paper, therefore, we proposed a first framework for learning the compatibility of clothing styles and body shapes from social big data, with the goal to recommend a user about what to wear better in relation to his/her essential body attributes. The experimental results demonstrate the superiority of our proposed approach, leading to a new aspect for research into fashion recommendation.
URI: http://dx.doi.org/10.1145/3240508.3240546
http://hdl.handle.net/11536/153838
ISBN: 978-1-4503-5665-7
DOI: 10.1145/3240508.3240546
Journal: PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)
Begin Page: 438
End Page: 446
Appears in Collections:Conferences Paper