The week's pick
Reseach Article
Choosing the Right Model: A Comprehensive Analysis of Outfit Recommendation Systems
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 12 |
| Year of Publication: 2021 |
| Authors: Gursimran Kaur, Hrithik Malhotra, Tanmaya Gupta |
10.5120/ijca2021921413
|
Gursimran Kaur, Hrithik Malhotra, Tanmaya Gupta . Choosing the Right Model: A Comprehensive Analysis of Outfit Recommendation Systems. International Journal of Computer Applications. 183, 12 ( Jun 2021), 13-20. DOI=10.5120/ijca2021921413
Abstract
This Survey unravels developmental research on Fashion Recommendation Systems. (FRS). There is an introduction to the the three types of Recommendation Systems that are present: Content based, Collaborative Filtering and Hybrid Models, and a discussion on their pros and cons. Then onto discussing the challenges faced by Recommendation approaches followed by specifically the ones by Fashion Recommendation Systems. The need for presenting Outfit recommendation models and the importance of their accuracy is presented. Finally, a comprehensive survey of 4 types of Fashion Recommendation Systems: 1.) Collaborative Filtering 2.) Content based 3.) Hybrid 4.) Ontology based. A presentation of these with examples for representative algorithms of each category, and analysis of their predictive performance and their ability to address the challenges is carried out.
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