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dc.contributor.authorHidayati, Shintami Chusnulen_US
dc.contributor.authorHsu, Cheng-Chunen_US
dc.contributor.authorChang, Yu-Tingen_US
dc.contributor.authorHua, Kai-Lungen_US
dc.contributor.authorFu, Jianlongen_US
dc.contributor.authorCheng, Wen-Huangen_US
dc.date.accessioned2020-03-02T03:23:53Z-
dc.date.available2020-03-02T03:23:53Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-4503-5665-7en_US
dc.identifier.urihttp://dx.doi.org/10.1145/3240508.3240546en_US
dc.identifier.urihttp://hdl.handle.net/11536/153838-
dc.description.abstractClothing 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.en_US
dc.language.isoen_USen_US
dc.subjectFashion analysisen_US
dc.subjectrecommender systemen_US
dc.subjecthuman body shapeen_US
dc.subjectclothing styleen_US
dc.subjectcorrelationen_US
dc.titleWhat Dress Fits Me Best? Fashion Recommendation on the Clothing Style for Personal Body Shapeen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1145/3240508.3240546en_US
dc.identifier.journalPROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)en_US
dc.citation.spage438en_US
dc.citation.epage446en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000509665700051en_US
dc.citation.woscount7en_US
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