Naive Bayesian Network for Automated, Fashion Personal Stylist

N. Strain, J. Olszewska

Abstract

Fashion is an area that people experience every day. Fashion can be seen as homogenizing, since encouraging everyone to dress in a certain way that is influenced, e.g. by celebrities and social media. However, nowadays, fashion is also a search for individuality and personal expression. Hence, this work is about the development of an intelligent web application to help people by providing them with clothing suggestions based on their previous garment selections at the registration stage and after determining each user’s individual style thanks to machine learning techniques such as Naive Bayesian Networks. The resulting intelligent system has been thoroughly tested on real-world datasets as well as successfully released to end-users.

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Paper Citation


in Harvard Style

Strain N. and Olszewska J. (2020). Naive Bayesian Network for Automated, Fashion Personal Stylist.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 814-821. DOI: 10.5220/0009123808140821


in Bibtex Style

@conference{icaart20,
author={N. Strain and J. Olszewska},
title={Naive Bayesian Network for Automated, Fashion Personal Stylist},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={814-821},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009123808140821},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Naive Bayesian Network for Automated, Fashion Personal Stylist
SN - 978-989-758-395-7
AU - Strain N.
AU - Olszewska J.
PY - 2020
SP - 814
EP - 821
DO - 10.5220/0009123808140821