AN ONLINE SHOPPING MALL SYSTEM RECOMMENDING APPAREL MATERIALS USING DYNAMIC LEARNING METHOD

摘要

The present invention relates to an online shopping mall system for recommending subsidiary materials for clothes using a dynamic leaning method which classifies images of the subsidiary materials for clothes received from a customer into a plurality of groups by using a deep learning-based first classification engine and recommends to the customer the address of a shopping mall selling one or more subsidiary materials for clothes and the pertinent product according to the similarity of the images among the products in the category within the pertinent group by using a separate deep leaning-based second classification engine optimized for the pertinent group. According to the present invention, by providing a list of one or more subsidiary materials for clothes similar to the images uploaded by the customer along with the image of the recommended product, the similarity figure, and the site link selling the recommended product in order of similarity, the customer may easily shop without unnecessary searching, thereby minimizing the time required to shop for subsidiary materials for clothes.