Personalised Size Recommendation for Online Fashion

Fanke PENG, Mouhannad Al-Sayegh

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

Abstract

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
Pages1-6
Number of pages6
Volume1
Publication statusPublished - 2014
Event6th International Conference of Mass Customization and Personalisation in Central Europe - Novi Sad, Serbia
Duration: 23 Sep 201426 Sep 2014

Conference

Conference6th International Conference of Mass Customization and Personalisation in Central Europe
CountrySerbia
CityNovi Sad
Period23/09/1426/09/14

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PENG, F., & Al-Sayegh, M. (2014). Personalised Size Recommendation for Online Fashion. In P. Z. Anisic, & P. C. Forza (Eds.), Proceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe (Vol. 1, pp. 1-6). Novi Sad: University of Novi Sad.
PENG, Fanke ; Al-Sayegh, Mouhannad. / Personalised Size Recommendation for Online Fashion. Proceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe. editor / Professor Zoran Anisic ; Professor Cipriano Forza. Vol. 1 Novi Sad : University of Novi Sad, 2014. pp. 1-6
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title = "Personalised Size Recommendation for Online Fashion",
abstract = "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, infashion 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 sizerecommendation. 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.",
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PENG, F & Al-Sayegh, M 2014, Personalised Size Recommendation for Online Fashion. in PZ Anisic & PC Forza (eds), Proceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe. vol. 1, University of Novi Sad, Novi Sad, pp. 1-6, 6th International Conference of Mass Customization and Personalisation in Central Europe, Novi Sad, Serbia, 23/09/14.

Personalised Size Recommendation for Online Fashion. / PENG, Fanke; Al-Sayegh, Mouhannad.

Proceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe. ed. / Professor Zoran Anisic; Professor Cipriano Forza. Vol. 1 Novi Sad : University of Novi Sad, 2014. p. 1-6.

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

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AU - Al-Sayegh, Mouhannad

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N2 - 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, infashion 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 sizerecommendation. 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.

AB - 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, infashion 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 sizerecommendation. 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.

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PENG F, Al-Sayegh M. Personalised Size Recommendation for Online Fashion. In Anisic PZ, Forza PC, editors, Proceedings of the 6th International Conference on Mass Customization and Personalization in Central Europe. Vol. 1. Novi Sad: University of Novi Sad. 2014. p. 1-6