Intelligent Fashion Recommender System: Redefining Style with Deep Learning

Industrialization and manufacturing are growing tremendously over the past few years. In fact, customers don't really prefer going outside for their service. Due to rapid online commercialization, customers don't have to visit stores, try products in the dressing area. There is an immense number of various products available on the online websites and platforms. In this article, authors review the quality of the fashion recommendation system and their corresponding techniques. Moreover, this paper focuses on various models that could be created and developed to support the fashion recommender system. For the better understanding of the students and researchers and scholars we have decided to take on this study. It also briefly explains machine learning algorithms and computer vision techniques which signifies the fashion recommender system. A recommendation program or technique, basically is an algorithm that aims to identify and filter out the relevant information from a hefty amount of dataset so as to give customers the right recommendations. It consists of engines that enquire and resolve patterns associated with this algorithm. Some examples of software/companies that use recommender systems are Amazon, Myntra, AJIO, TATA CLiQ, etc.