Robotic Stylist: A design oriented apparel recommendation system

Congying Guan, Sheng-feng Qin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This paper aims to prototype a design-oriented apparel recommendation system based on Artificial Intelligence technology. The Robotic Stylist recommends appropriate clothes to match up with the wearer’s body images and occasions according to the design features of apparel in terms of lines, colors, patterns, prints and textures. Such a system deals with webbased recommendation with real-time results from huge online apparel market to improve users’ experiences while shopping online. A large design evaluation dataset is collected from both fashion experts and peer groups of users via crowdsourcing platform. Artificial Neural Networks are adopted to simulate product judgments process of human brain by training the dataset. The optimization of predicted evaluation results from networks is the solution of recommendations.
Original languageEnglish
Title of host publicationIASDR2015 INTERPLAY Proceedings
EditorsVesna Popovic, Alethea Blackler, Ding-Bang Luh, Nithikul Nimkulrat, Ben Kraal, Yukari Nagai
Place of PublicationBrisbane
PublisherThe International Association of Societies of Design Research
Number of pages3034
ISBN (Print)9780646943183
Publication statusPublished - Nov 2015
EventIASDR2015 INTERPLAY - Brisbane
Duration: 1 Nov 2015 → …


Period1/11/15 → …


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