Netflix’s recommendation systems are well-developed by the engineers to understand the interests and habits of their users based on multiple factors. Netflix recommendations system estimates the probability of a user watching a particular title based on multiple factors such as –
- Viewer interactions with Netflix services include the viewer ratings, viewing history, etc.
- Data of categories, year of release, title, genres, and more.
- Other viewers with similar preferences and interests.
- The time duration of a viewer watching a show
- The device on which a viewer is watching.
- The time of the day a viewer watches
If you want to learn Python and build a recommendation engine, then enroll in this Python Course by Intellipaat.
You can watch this video on building a basic Netflix Recommendation Engine using Python:
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