A tutorial to demonstrate the process of training and evaluating various recommender models on a online retail store data. Along with the positive feedbacks like view, add-to-cart, we also have a negative event 'remove-from-cart'.
Creating a system that automatically recommends a certain number of products to the consumers on an E-commerce website based on the past purchase behavior of the consumers.
A tutorial on building a movie recommender system that will learn user-item representation using graph embedding and comparing performance with other methods like matrix factorization
A tutorial on building a recommender that will allow users to select a specific type of shirt and search for similar pattern of shirts from the inventory
