Indian Institute of Technology Madras (IIT Madras) / Mathematics
Product Recommendation System
Devised a Product Recommendation Engine for online shopping by extracting features from search history ● Created a dataset from scratch, with the help of web scraping to get details of users like age, gender, products ● Analyzed pattern trend of users on higher dimension based on product by using kernel trick Radial basis function (RBF) ● Developed an SVM model, using SMO to the gender on the basis of product for better recommendation with accuracy 91%