The project is to predict the rating that a user will give to a product in Amazon's kindle store given their rating history. Used recommender system algorithms on the provided training dataset (train.csv) to traing a model that will be used to predict the ratings users give to products. The test dataset (test.csv) includes as (composite) key the reviewer's and product's id in the following format: "reviewerID-asin".
Dataset: https://www.kaggle.com/c/cmpe256-f19-recommender-systems/data