This concludes the chapter. We have gone through recommendation systems, including the theory and some practical examples in Scala. I have learned a lot of this theory from some of the courses on data mining at Coursera, which is an amazing platform. I hope we have been able to do justice to the topic. We have tried to focus a lot on the design and the factors involved in a recommendation system as I always believe that engineering the solution is the easy part once you understand what you are up against.
The next chapter is focused on another case study, which is churn prediction, one of the most popular use cases in any customer-driven organization, that understands the cost of acquiring a new customer versus retaining an existing one.
