Product Recommendation
Product recommendation is essentially a filtering system that aims to anticipate and present the goods that a user would be interested in buying. It is used to generate recommendations that keep users engaged with your product and service and provides relevant suggestions to them. In this chapter, we will learn how to do the following:
- Detect clients who are reducing their sales
- Target clients with personalized product suggestions for products that they are not yet buying
- Create specific product recommendations based on already bought products using market basket analysis and the Apriori algorithm
Let’s determine what will be the requirements to understand the steps and follow the chapter.
This chapter covers the following topics:
- Targeting decreasing returning buyers
- Understanding product recommendation systems
- Using the Apriori algorithm for product bundling
