How ML/AI Benefits Netflix
Artificial Intelligence and machine learning
Artificial intelligence is a field of computer science that makes a computer system that can able to behave like human intelligence. It is consists of two words “Artificial” and “intelligence”, ” Hence we can define it as
Artificial: it means a human-made thinking power.
intelligence: it means the ability to understand logic.
“Artificial intelligence is a technology using which we can create intelligent systems that can simulate human intelligence.”
Machine Learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to learn and improve from past experiences without being programmed.
Machine learning works on the algorithm which learns on its own using historical data Actually it finds out some kind of pattern from historical data and it will try to apply to given inputs so it feels that it predicating something.
HOW AI and ML is used by Netflix
it is very much Interesting ways that Netflix uses data science (including machine learning and AI) to manage its business include using algorithms to provide video recommendations, using AI to ensure quality streaming even at lower bandwidths.
VIDEO RECOMMENDATION SYSTEM
Netflix uses various types of algorithms to recommend videos to its users. The company estimated that this system helped to save $1 billion a year in value from customer retention.
Personalized Movie Recommendations
Users who watch movie A are likely to watch movie B. This is leading us to the most well-known feature of Netflix. Netflix uses the watching history of other users with similar tastes to recommend what you may be most interested in watching next so that you stay engaged and continue your monthly subscription for more.
so behind the stage, they feed this watching history to their ML models, and also with the help of AI, they recommend the movie to users and they are so powerful that their predictions are 90% correct.
the recommendations system estimates the probability of a user watching a particular title based on the following factors
- Viewer interactions with Netflix services like viewer ratings, viewing history, etc.
- Information about the categories, year of release, title, genres, and more.
- Other viewers with similar watching preferences and tastes.
- The time duration of a viewer watching a show
- The device on which a viewer is watching.
Personalized Artworks/ Thumbnails
Credits to: Netflix.com
every user probably 90% comes to the particular title because of its catchiness. they will show some chasing seen or famous actors in thumbnails so the user thinks it is a good movie to see and sometimes they show some suspense part of the movie to attract even more users and they give these images or thumbnails a name called artworks.
Netflix is different from other media companies because of personalizing the artworks or thumbnails. They say an image is worth a thousand words and Netflix is playing on to it with its new recommendation algorithm based on the artwork /thumbnails.
The artwork for a title is used to capture the attention of the viewer and gives them visual evidence on why it could be a perfect choice for them to watch it. The thumbnail or artwork might highlight an exciting scene from a movie like a car chase, a famous actor that the viewer recognizes, or a dramatic scene that depicts the essence of the TV show or a movie. For every new title, various images are created randomly for different subscribers based on the community interest and also ML models. Netflix then presents the image with the highest like on a user’s homepage so that they will give it a try.
Netflix makes use of thousands of videos from existing TV shows and movies for thumbnail generation. The images are then annotated and ranked to predict the highest likelihood of being clicked by a viewer. These calculations depend on what other viewers with similar interests and preferences have clicked on.
For Ex, viewers who like a particular actor are most likely to click on images with the actor.
As we said earlier Netflix users also get some personalized thumbnails based on their interest and community interest as well you can see in the following image
Other Applications of Machine Learning at Netflix
- Machine learning shapes the categories of TV shows and movies by learning characteristics that make content successful among viewers.
- Machine learning and artificial intelligence help them to Optimize the production of TV shows and movies.
- Machine learning and artificial intelligence help them to Optimize audio and video encoding, in-house CDN, and adaptive bitrate selection.
Conclusion:-
So, we learned that how MNC like netflix use AI/ML to solve the challenges of their recommendation systems.
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