Data Source:
https://www.kaggle.com/mkechinov/ecommerce-events-history-in-cosmetics-shop
-
Built recommender systems for recommending products and brands to online cosmetics shop users using popularity model, item-based Collaborative Filtering, Matrix Factorization with Implicit Alternative Least Squares, and Neural Networks.
-
User-Product Matrix has a sparsity of 99.9285%
-
User-Brand Matrix has a sparsity of 98.8192%
