Recommendation System for E-Commerce Apparel Stores based on Text-Semantics

Abstract

For physical offline stores as association analysis plays an important role in the maximization of sales, similarly, for online E-Commerce stores recommendation systems play a major role to enhance the shopping experience of users by suggesting similar kinds of products based on past search history. Just a single search for a product is sufficient to flood the social media and emails of users with various similar products in the form of advertisements, promotional videos & other posts. In this paper, we have discussed a recommendation system using text-semantics-based methods for ladies’ Apparel and finally, a comparative analysis has been done with our previous works on this aspect.