Robotic Stylist: A design oriented apparel recommendation system

Guan, Congying and Qin, Sheng-feng (2015) Robotic Stylist: A design oriented apparel recommendation system. In: IASDR2015 INTERPLAY Proceedings. The International Association of Societies of Design Research, Brisbane, pp. 839-850. ISBN 9780646943183

Full text not available from this repository.
Official URL: http://iasdr2015.com/wp-content/uploads/2015/11/IA...

Abstract

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.

Item Type: Book Section
Department: Faculties > Arts, Design and Social Sciences > School of Design > Design
Faculties > Arts, Design and Social Sciences > School of Design > Design
Faculties > Arts, Design and Social Sciences > School of Design > Design
Related URLs:
Depositing User: Ay Okpokam
Date Deposited: 14 Dec 2015 11:56
Last Modified: 14 Dec 2015 11:56
URI: http://nrl.northumbria.ac.uk/id/eprint/25002

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence