In this chapter, we learned about recommendation engines. We studied the selection of the right recommendation engine based on the problem that we are trying to solve. We also looked into how we can prepare data for recommendation engines to create a similarity matrix. We also learned how recommendation engines can be used to solve practical problems, such as suggesting movies to users based on their past patterns.
In the next chapter, we will focus on the algorithms that are used to understand and process data.
