Member-only story
Build A Book Recommendation System Using Python & Machine Learning
Build a Book Recommender Using the Python Programming Language
In this article, I will show you how to create your own book recommendation system using the python programming language and machine learning. The purpose of this Book Recommendation Engine, or “Book Recommender” is to recommend interesting books that the user may like.
A recommendation system sometimes called a recommender engine is one of the most powerful marketing tools in todays digital world! Big companies from Netflix, to Amazon use these recommendation engines to suggest products and services to their customers.
Speaking of recommendation systems, I recommend you read the Harry Potter series if you enjoy fantasy, it is the highest-selling series of novels ever written by J.K. Rowling (as of Feb. 10, 2021). I want to emphasize again these novels are the highest -selling series of novels EVER. The series of books were so popular that they inspired 8 movies based on the novels and even the creation of the Wizarding World of Harry Potter sections at Universal Studios Theme Parks. The novels have sold over 500 million copies! So, if you are interested in fantasy then I RECOMMEND you check out the Harry Potter Series. Okay, now let’s talk more about recommendation engines.
About Recommendation Engines
A recommendation engine, also known as a recommender system, is software that analyzes available data to make suggestions for something that a user might be interested in.
A recommendation engine can be used for recommending other products besides books; for example a recommendation engine can be used to suggest movies or t-shirts or any other product based on things like similar customers who bought similar products. On Amazon’s ecommerce website, you can see an area populated by a recommendation engine, it’s the area that you see “Customers who viewed this item also…
