About this paper
Websites like amazon.com have popularized recommendation systems – and for good reason. Using these systems, companies can analyze individual buying histories and make automatic recommendations to buyers in real time, as they shop. Using an automated cross-selling approach, they empower retailers to add value to the products already chosen by customers – and ultimately increase sales. In a recent webcast, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS, explored recommendation systems in more depth. This paper summarizes his answers to common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology works, with a special focus on SAS capabilities and benefits.