Project information

Amazon recommender System

Developed a Recommender system based on reviews and ratings given by customers on different products. Performed sentiment analysis on input factors, also designed item-based collaborative filtering based on K-nearest neighbors to find 2 most similar items, achieved 81% Mean Average Recall at K = 3.