@inproceedings{61fd4ec8906e4eb383c9e2cb2337935b,
title = "Na{\"i}ve Bayesian network for automated, fashion personal stylist",
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{\textquoteright}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.",
keywords = "Intelligent systems, Agent-oriented software engineering, Expert system, Machine learning, Bayesian networks, Knowledge-based system, Web intelligence, Data mining, Industrial applications of AI",
author = "N. Strain and J.I. Olszewska",
year = "2020",
month = feb,
day = "22",
doi = "10.5220/0009123808140821",
language = "English",
volume = "2",
series = "ICAART",
publisher = "SciTePress",
pages = "814--821",
editor = "Ana Rocha and Luc Steels and {van den Herik}, Jaap",
booktitle = "Proceedings of the International Conference on Agents and Artificial Intelligence",
address = "Portugal",
}
