Sistema de recomendação com filtragem colaborativa para uma loja online varejista multinacional de moda

Abstract

The online fashion store industry has been growing steadily in recent years. At the same time, data volume and the demand for personalization by consumers have also increased. Given this scenario, the application of artificial intelligence technologies has become necessary to deal with these demands. This paper proposes the development of a clothing and accessories recommendation system for an online fashion shop. The method adopted is collaborative filtering, which uses optimization algorithms to recommend products effectively and aligned with the consumer profile. Thereby, this system contributes to the insertion of technology in the sector and supports its development.