An Approach for Recommending Similar Fashion Products
This project is about the Fashion Recommendation system. It is very different from a normal recommendation system because in the majority of recommendations they try to recommend a product for a particular product or about a single query. But in our case, it is different because while the user searching for a product the user might be interested in secondary products worn by the model. So to address this need we will recommend the secondary products worn by the model/person. The architecture and design components are inspired from a Paper: https://arxiv.org/pdf/2008.11638.pdf
Instacart is an American company that provides grocery delivery and pick-up service. The Company operates in the U.S and Canada. Instacart offers its services via a website and mobile app. Unlike another E-commerce website providing products directly from Seller to Customer. Instacart allows users to buy products from participating vendors. And this shopping is done by a Personal Shopper.
Task: The task here is to build a model that predicts where the user order’s the product again or not