Amazon's Book Recommendation Algorithm: How it Works and its Effect on Sales
Amazon's book recommendation algorithm is a machine learning system that uses various data points to suggest books to customers. This includes information on the customer's browsing and purchasing history, as well as data on the book itself, such as its sales and customer reviews. The algorithm takes this information and uses it to make personalized recommendations to each individual customer. The effect of the algorithm on sales is significant, as it helps customers discover new books they may be interested in and can lead to increased sales for both Amazon and the authors.