Text-Based Recommendation System for E-Commerce Apparel Stores

Ever since digitalization, online shopping has been trending at its peak. This shopping is in the form of gadgets, food items, clothes, daily use products & whatnot. Due to such a high demand of netizens, like the market-basket analysis in physical offline stores, the online E-commerce stores also need certain recommendation systems using which, around 35% of their revenues get generated as per surveys. In this paper, we have used & presented content i.e., text-based methods that would recommend ladies’ apparel using product similarity measures, based on different aspects of the available text content.