ManageChatDiscover
276188

Fashion Recommendation System and its Impact on Consumers’ Purchase Decision Making

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

Consumers' fashion preferences are influenced by a range of variables including: demographics, location, personal preferences, social influences, age, gender, season, and culture. Additionally, recent study on fashion recommendation demonstrates that fashion preferences differ not only from one country to another but also from one city to another. Combining fashion preferences with the aforementioned variables related to clothing selections that may help researchers better understand customer preferences by transmitting the picture attributes. As a result, fashion designers and merchants benefit by studying client preferences and suggestions. Additionally, consumers' data gathered from clothing choices and product preference have become available on the Internet in the form of text, opinions, images and pictures. Both online and offline fashion retailers are using these platforms to reach billions of users who are active on the Internet. Therefore, e-commerce has become the predominant channel for shopping in the recent years.. With the development of e-commerce technology, A large number of consumers prefer to buy garments through e-commerce websites. But on the internet, where the large majority of choices have become overwhelming, it is necessary to filter, prioritize, and present pertinent information quickly according to every one's preferences. Recommendation systems (RSs) solve this problem through sifting a significant amount of dynamically created data to offer customers personalized content and suggestions. The suggestions relate to various decision-making processes, such as what items to buy, what music to listen to, or what online news to read. This paper examines the various traits and potentials of the prediction techniques used in Fashion Recommendation systems (FRs).

DOI

10.21608/idj.2023.276188

Keywords

Recommendation systems (RSs), Fashion recommendation system (FRs), Collaborative filtering (CF), Content-based filtering (CB), Hybrid filtering technique

Authors

First Name

Doha

Last Name

Eldemerdash

MiddleName

-

Affiliation

Faculty of Applied Arts

Email

dr.doh.demer@gmail.com

City

Cairo

Orcid

-

First Name

Khalid

Last Name

AL shikh

MiddleName

Mahmoud Abdu

Affiliation

Professor at Ready-Made Clothes Faculty of Applied Arts Helwan University

Email

dr.elsheikh@hotmail.com

City

Giza

Orcid

-

First Name

Maha

Last Name

Abou-Ghali

MiddleName

Hamdy

Affiliation

Lecturer assistant at apparel and fashion – faculty of applied arts – Badr university Maha_aboughali@hotmail.com

Email

maha_aboughali@hotmail.com

City

-

Orcid

-

Volume

13

Article Issue

1

Related Issue

38414

Issue Date

2023-01-01

Receive Date

2022-08-11

Publish Date

2023-01-01

Page Start

195

Page End

206

Print ISSN

2090-9632

Online ISSN

2090-9640

Article File

IDJ_Volume 13_Issue 1_Pages 195-206.pdf

PDF . 1.3MB

Link

https://idj.journals.ekb.eg/article_276188.html

Detail API

https://idj.journals.ekb.eg/service?article_code=276188

Order

18

Type

Original Article

Type Code

1,217

Publication Type

Journal

Publication Title

International Design Journal

Publication Link

https://idj.journals.ekb.eg/

MainTitle

Fashion Recommendation System and its Impact on Consumers’ Purchase Decision Making

Details

Type

Article

Created At

22 Jan 2023