You're walking into your favorite coffee shop. The eyes of the girl behind the counter light up as she sees you, and her face opens up in a big smile. She waves and says 'the usual?' You smile back, nod and take a seat near the counter and look through the menu, thinking about getting something to eat. While »
In this second post in a series of posts about a content recommendation system for The Marketing Technologist (TMT) website we are going to elaborate on the concept of content-based recommendation systems. In the first post we described the benefits of recommendation systems and we roughly divided them in two different types of recommenders: content-based and collaborative filtering. The first »
The goal of data science is typically described as creating value from Big Data. However, data science should also meet a second goal, that is, avoiding an information overload. One particular type of projects that really meet these two goals are recommendation engines. Online stores such as Amazon but also streaming services such as Netflix suffer from information overload. Customers »