Netflix is a subscription-based streaming platform that allows users to watch movies and TV shows without advertisements. One of the reasons behind the popularity of Netflix is the way Data Science is used at Netflix to improve its services as a streaming platform. So, if you want to know how Netflix uses Data Science, this article is for you. This article will introduce how Netflix uses Data Science as a streaming platform.
Here’s How Netflix Uses Data Science
Below are some ways how Netflix uses Data Science to improve its services as a streaming platform.
Recommending TV Shows and Movies
The recommendation system of Netflix shows you movies and TV shows according to your interests. Netflix has a lot of data because of its user base. Its recommendation system predicts a personalized catalogue for you based on factors like:
- your viewing history
- the viewing history of other users with similar tastes and preferences as yours
- genres, category, description, and more information about the content that you watched in the past
- the time of the day you are watching
- the device on which you are watching
- your time spent on the kind of content you watched previously
All the above factors help Netflix recommend more content. And if the user is new, Netflix recommends trending content based on the genres user selected during the signup process.
Content Analytics
Netflix performs content analysis to understand how all the shows and movies on Netflix are performing. Analyzing content helps Netflix understand what content types are performing well and attracting more users. It helps Netflix get more business.
Analyzing content also helps in understanding user preferences for entertainment, the viewing habits of new users, the viewing habits of the users that renew subscriptions every month, and the viewing habits of the users that left viewing content on Netflix.
It helps Netflix understand what kind of content, actors, story, genres, and categories need to grow on Netflix to get more subscribers.
Network Quality Analysis
You must have experienced that videos on the internet fail to play consistently when the network quality is low. It doesn’t happen while watching any TV show or movie on Netflix most of the time.
Netflix analyzes the network quality of its users to understand what streaming quality is best for its users. Netflix has different video quality files for each movie and TV shows available on Netflix. Netflix distributes content based on your network quality.
It means whenever a user is viewing content, Netflix analyzes the network quality in the user’s device and selects the best streaming quality that can play consistently on the user’s device even if the network is low.
Summary
So here are some ways how Netflix uses Data Science to improve its services as a streaming platform:
- The recommendation system of Netflix shows you movies and TV shows according to your interests.
- Netflix performs content analysis to understand user preferences for entertainment, the viewing habits of new users, the viewing habits of the users that renew subscriptions every month, and the viewing habits of the users that left viewing content on Netflix.
- Netflix analyzes the network quality in the user’s device and selects the best streaming quality that can play consistently on the user’s device even if the network is low.
I hope you liked this article on how Netflix uses Data Science. Feel free to ask valuable questions in the comments section below.
