A Knowledge-based Approach for Personalised Clothing Recommendation for Women

Hemilis Joyse Barbosa Rocha, Evandro de Barros Costa, Emanuele Tuane Silva, Natalia Caroline Lima, Juliana Cavalcanti

2017

Abstract

Currently, recommendation system technology has been assumed as a promising approach to contribute to fashion domain in terms of electronic commerce. In this paper, we propose an approach for a clothing personalized recommendation system that is able to help the women to identify appropriate clothing categories together with models linked to clothing images, mainly based on their fashion styles and body types. To achieve this, besides an intelligent user interface, our recommendation approach deals with two main components: the user modeling and the clothing recommendation, which is responsible for recommending fashion clothing items to women. The user modeling is responsible for creating and updating the user model, including two main knowledge-based mechanisms: the first is responsible for automatically identifying the fashion style, and the second is responsible for detecting body type. We evaluated our recommendation approach and preliminary results indicate that it significantly supports the women with choices.

References

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Paper Citation


in Harvard Style

Joyse Barbosa Rocha H., de Barros Costa E., Tuane Silva E., Caroline Lima N. and Cavalcanti J. (2017). A Knowledge-based Approach for Personalised Clothing Recommendation for Women . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 610-617. DOI: 10.5220/0006337306100617


in Bibtex Style

@conference{iceis17,
author={Hemilis Joyse Barbosa Rocha and Evandro de Barros Costa and Emanuele Tuane Silva and Natalia Caroline Lima and Juliana Cavalcanti},
title={A Knowledge-based Approach for Personalised Clothing Recommendation for Women},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={610-617},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006337306100617},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Knowledge-based Approach for Personalised Clothing Recommendation for Women
SN - 978-989-758-247-9
AU - Joyse Barbosa Rocha H.
AU - de Barros Costa E.
AU - Tuane Silva E.
AU - Caroline Lima N.
AU - Cavalcanti J.
PY - 2017
SP - 610
EP - 617
DO - 10.5220/0006337306100617