Garment Fashion Recommendation System for Customized Garment

Data is the collection of facts and details which leads to create useful information for any organization after performing analysis [1]. The large volume of data generated via internet applications and thus the requirement of retrieving most relevant information from data has become a priority. Recommendation system (RS) provides a path to deal with the large volume of data and to come out with potential insights for the business and end users. This paper explores to propose RS for customized garment using the hybrid filtering technique. Major activities like data collection, data modeling, data pre-processing, and data analysis over past transactions of customers purchase are explored. Collaboratively this paper explores the approach of building a system with implicit feedback.