Machine-Learning Techniques for Customer Recommendations
Today, there is a demand for automated procedures for predicting future customers using recommendation engines in the customer relationship management market. There are already functions commonly available for finding “twins”, i.e., possible customers that are similar to existing customers, and for browsing through lists of customers partitioned into categories such as locations or lines of busine
