Fashion coordinates recommender system using photographs from fashion magazines

Tomoharu Iwata, Shinji Watanabe, Hiroshi Sawada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

59 Citations (Scopus)

Abstract

Fashion magazines contain a number of photographs of fashion models, and their clothing coordinates serve as useful references. In this paper, we propose a recommender system for clothing coordinates using full-body photographs from fashion magazines. The task is that, given a photograph of a fashion item (e.g. tops) as a query, to recommend a photograph of other fashion items (e.g. bottoms) that is appropriate to the query. With the proposed method, we use a probabilistic topic model for learning information about coordinates from visual features in each fashion item region. We demonstrate the effectiveness of the proposed method using real photographs from a fashion magazine and two fashion style sharing services with the task of making top (bottom) recommendations given bottom (top) photographs.

Original languageEnglish
Title of host publicationIJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence
Pages2262-2267
Number of pages6
DOIs
Publication statusPublished - 2011 Dec 1
Externally publishedYes
Event22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 - Barcelona, Catalonia, Spain
Duration: 2011 Jul 162011 Jul 22

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)1045-0823

Conference

Conference22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
CountrySpain
CityBarcelona, Catalonia
Period11/7/1611/7/22

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Iwata, T., Watanabe, S., & Sawada, H. (2011). Fashion coordinates recommender system using photographs from fashion magazines. In IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence (pp. 2262-2267). (IJCAI International Joint Conference on Artificial Intelligence). https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-377