What dress fits me best? Fashion recommendation on the clothing style for personal body shape

Shintami Chusnul Hidayati, Kai Lung Hua, Cheng Chun Hsu, Jianlong Fu, Yu Ting Chang, Wen-Huang Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

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.

Original languageEnglish
Title of host publicationMM 2018 - Proceedings of the 2018 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages438-446
Number of pages9
ISBN (Electronic)9781450356657
DOIs
StatePublished - 15 Oct 2018
Event26th ACM Multimedia conference, MM 2018 - Seoul, Korea, Republic of
Duration: 22 Oct 201826 Oct 2018

Publication series

NameMM 2018 - Proceedings of the 2018 ACM Multimedia Conference

Conference

Conference26th ACM Multimedia conference, MM 2018
CountryKorea, Republic of
CitySeoul
Period22/10/1826/10/18

Keywords

  • Clothing style
  • Correlation
  • Fashion analysis
  • Human body shape
  • Recommender system

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