Recommender System - Collaborative Filtering

The model recommends a set of books to user based on Machine Learning Techniques

Algorithm:- Latent Factor Model for Collaborative Filtering

Optimization Technique:- Stochastic Gradient Descent

Steps--

1. Analyze the data

2. Construct a rating matrix

3. Initialize factor matrices

4. Compute the error using RMSE

5. Minimize error using SGD

6. Save the output in the form of MXN matrix, where M is the number of users and N is the number of books where each entry rij represents the rating of product j for a given user i. A higher rating indicates that the user is more likely to purchase a product.