Collaborative Filtering with Machine Learning and Python
In the previous article, we had a chance to see how we can build Content-Based Recommendation Systems. These systems are quite easy and they consider only interaction of a single user with the items of our platform. Essentially, when we are building such a system, we...
Guide to Content-Based Recommendation Systems
In the previous article, we went through the basics of recommendation systems. We noted that there are four types of recommendation systems, of which two are the most popular. In this article, we are going to explore one of those popular approaches –...
Introduction to Recommendation Systems
From Netflix, Google, and Amazon, to smaller webshops, recommendation systems are everywhere. In fact, this type of system represents probably one of the most successful business applications of Machine Learning. Their ability to predict what users would like to read,...
