標題: What Dress Fits Me Best? Fashion Recommendation on the Clothing Style for Personal Body Shape
作者: 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
關鍵字: Fashion analysis;recommender system;human body shape;clothing style;correlation
公開日期: 1-一月-2018
摘要: 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
期刊: PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)
起始頁: 438
結束頁: 446
顯示於類別:會議論文