Personalised Size Recommendation for Online Fashion

Fanke PENG, Mouhannad Al-Sayegh

    Research output: A Conference proceeding or a Chapter in BookConference contribution


    Abstract: The aim of this project is to develop and test the garment size recommendation app, ShapeMate, embedded within a fashion e-commerce site. Not finding the correct garment size causes the high return rate of 30%-40%1, in
    fashion e-commerce. The app captures a single image with minimal user input, to estimate and classify the 3D body shape, in order to generate body measurements and using this information, to match with garment data for size
    recommendation. An extensive user-experience study was conducted, which was empirically tested through semistructured focus group interview and survey, to validate results and obtain further insight. This research project offers a major innovation for low-cost size recommendation generated from a single image for fashion, e-commerce, enhancing the online apparel shopping experience, by matching personalised body measurements with customised garments.
    Original languageEnglish
    Title of host publicationProceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe
    EditorsProfessor Zoran Anisic, Professor Cipriano Forza
    Place of PublicationNovi Sad
    PublisherUniversity of Novi Sad
    Number of pages6
    Publication statusPublished - 2014
    Event6th International Conference of Mass Customization and Personalisation in Central Europe - Novi Sad, Serbia
    Duration: 23 Sept 201426 Sept 2014


    Conference6th International Conference of Mass Customization and Personalisation in Central Europe
    CityNovi Sad


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