Step by step guide to build a simple recommendation system. In this article, I’ll look at why we need recommender systems and the different types of users online. Then, I’ll show you how to build your own movie recommendation system using an open-source dataset.
Have you ever wondered how YouTube recommends content, or how Facebook recommends you, new friends? Perhaps you’ve noticed similar recommendations with LinkedIn connections, or how Amazon will recommend similar products while you’re browsing. All of these recommendations are made possible by the implementation of recommender systems.
Recommender systems encompass a class of techniques and algorithms that can suggest “relevant” items to users. They predict future behavior based on past data through a multitude of techniques including matrix factorization.
In this article, I’ll look at why we need recommender systems and the different types of users online. Then, I’ll show you how to build your own movie recommendation system using an open-source dataset.
We now live in what some call the “era of abundance”. For any given product, there are sometimes thousands of options to choose from. Think of the examples above: streaming videos, social networking, online shopping; the list goes on. Recommender systems help to personalize a platform and help the user find something they like.
The easiest and simplest way to do this is to recommend the most popular items. However, to really enhance the user experience through personalized recommendations, we need dedicated recommender systems.
From a business standpoint, the more relevant products a user finds on the platform, the higher their engagement. This often results in increased revenue for the platform itself. Various sources say that as much as 35–40% of tech giants’ revenue comes from recommendations alone.
Now that we understand the importance of recommender systems, let’s have a look at types of recommendation systems, then build our own with open-sourced data!
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
Enroll now at CETPA, the best Institute in India for Artificial Intelligence Online Training Course and Certification for students & working professionals & avail 50% instant discount.
In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.
Explore the differences between Data Science, Machine Learning, Artificial Intelligence. Understand how DS, ML, and AI is extremely inter-related. Choose the Right career path!