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Netflix Inc. is an American multinational entertainment company offering exclusive movies and TV shows online. The world has gone online and adopted “digital” as the mainstream way of entertainment over that last few years. People are watching TV shows and movies online like never before, Netflix has become a powerhouse of digital online entertainment. With a user base of 57 million, it became imperative for the media giant to offer customized services to each user. But it just sounds easy. In reality, it is an extremely complex task to customize their homepage uniquely to serve content to the users on the lines of user interests and preferences.
- Showing relevant content to the users visiting the Netflix Homepage so that each member finds something interesting to watch – be it TV shows, movies, videos or documentaries.
- Allowing the users to easily explore the catalogue from their Homepage without letting the interface constraints disturb the user-experience.
It is a challenge because there is a variety of content available to the users, thereby spoiling them for choice. But only the relevant content will make sense to users when presented in a coherent and easy-to-navigate manner.
Netflix wanted a solution that would predict what a user intends based on the history of the user-interaction with the homepage via a registered account. Naturally, there are multiple predictions needed to figure out the best content as per the user’s preferences. So, Machine Learning came as the proposed solution to analyse, predict and customize the Homepage content so that users make most of the situation by consuming the relevant as well as interesting video content. The present Netflix Homepage on most devices has an array of two-dimensional rows organized thematically. Users can scroll the video content vertically as well as horizontally.
Various Machine Learning techniques and algorithms helped Netflix personalize and recommend relevant videos to each user. Further, with the help of Machine Learning and predictive analytics, Netflix can predict the ratings a video is likely to receive from the users. Netflix now ranks each video in a row as well creating meaningful groupings of those videos. It is the scoring function of Machine Learning that works at the core of building a customized Homepage for each user.
Netflix has gained huge popularity pertaining to the video recommendations to their users. This helps in keeping the user base loyal and at ease. Not to mention, new users can be acquired quickly too.
Highly efficient and significantly improved online performance across the world.
Users can now find most relevant video content without excessive searching and sifting the Netflix catalogue.
To read in detail about the advantage that Netflix has over its competitors, please follow the link: https://goo.gl/xZeWkq