Naïve Bayesian network for automated, fashion personal stylist

N. Strain; J.I. Olszewska

doi:10.5220/0009123808140821

Naïve Bayesian network for automated, fashion personal stylist

N. Strain
, J.I. Olszewska

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

495 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the International Conference on Agents and Artificial Intelligence
Editors	Ana Rocha, Luc Steels, Jaap van den Herik
Place of Publication	Setubal
Publisher	SciTePress
Pages	814-821
Number of pages	8
Volume	2
ISBN (Electronic)	9789897583957
DOIs	https://doi.org/10.5220/0009123808140821
Publication status	Published - 22 Feb 2020

Publication series

Name	ICAART
Publisher	SCITEPRESS
ISSN (Electronic)	2184-433X

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Intelligent systems
Agent-oriented software engineering
Expert system
Machine learning
Bayesian networks
Knowledge-based system
Web intelligence
Data mining
Industrial applications of AI

Access to Document

10.5220/0009123808140821Licence: CC BY-NC-ND

2019 12 20 Strain et al Naive acceptedAccepted author manuscript, 1.09 MB

Cite this

@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",

}

Naïve Bayesian network for automated, fashion personal stylist. / Strain, N.; Olszewska, J.I.
Proceedings of the International Conference on Agents and Artificial Intelligence. ed. / Ana Rocha; Luc Steels; Jaap van den Herik. Vol. 2 Setubal: SciTePress, 2020. p. 814-821 (ICAART).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Naïve Bayesian network for automated, fashion personal stylist

AU - Strain, N.

AU - Olszewska, J.I.

PY - 2020/2/22

Y1 - 2020/2/22

N2 - 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.

AB - 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.

KW - Intelligent systems

KW - Agent-oriented software engineering

KW - Expert system

KW - Machine learning

KW - Bayesian networks

KW - Knowledge-based system

KW - Web intelligence

KW - Data mining

KW - Industrial applications of AI

U2 - 10.5220/0009123808140821

DO - 10.5220/0009123808140821

M3 - Conference contribution

VL - 2

T3 - ICAART

SP - 814

EP - 821

BT - Proceedings of the International Conference on Agents and Artificial Intelligence

A2 - Rocha, Ana

A2 - Steels, Luc

A2 - van den Herik, Jaap

PB - SciTePress

CY - Setubal

ER -

Naïve Bayesian network for automated, fashion personal stylist

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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