How to Build a Movie Recommendation System?

How to Build a Movie Recommendation System?

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.

Contents

  • Why Do We Need Recommender Systems?
  • Types of Recommender Systems
  • A) Content-Based Movie Recommendation Systems
  • B) Collaborative Filtering Movie Recommendation Systems
  • The Dataset
  • Designing a Movie Recommendation System
  • Implementation
  • Step 1: Matrix Factorization-based Algorithm
  • Step 2: Creating Handcrafted Features
  • Step 3: Creating a Final Model for our Movie Recommendation System
  • Performance Metrics
  • Summary

Why Do We Need Recommender Systems?

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!

technology machine-learning data-science education artificial-intelligence

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Most popular Data Science and Machine Learning courses — July 2020

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 vs Machine Learning vs Data Science

Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.

AI(Artificial Intelligence): The Business Benefits of Machine Learning

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.

Data science vs. Machine Learning vs. Artificial Intelligence

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.

Comparison of Data Science Vs Machine Learning Vs Artificial Intelligence

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!