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Fandrum, an application for fans, has recently announced an all-new and technologically advanced feature of AI-based recommendation systems for a better user interface and experience. The company releases its latest upgrade to help fans find and follow celebrities and fans. By analyzing the content that a user has been following, the app can suggest other users with similar interests. The application has seen increased user activity and engagement after this update. It is available on Android and soon be available for iOS app stores. It uses Natural Language Processing (NLP) techniques to understand users’ interests and automatically generate recommendations.

As per Vox Media LLC: “Forty-five hours per year: That’s about how long the average American consumer spends choosing what to watch next. You may not think those 7.4 minutes per day amount to much, but on the whole, Americans spend more time than ever before simply choosing the next title to click “play” on.

As per iHeartMedia Inc.: “A new British study shows how many minutes per week, and how many days of our lives are spent deciding which TV show and movies to watch at home. A survey of 2,000 people shows that the average week sees 24 minutes and 24 seconds spent deciding on TV shows and another 25 minutes selecting a movie. That adds up to 100 days of your life sitting there going, I don’t know, what do you want to watch?”

Considering the challenge, Fandrum has also released an AI-Based patented algorithm that is integrated into the mobile app itself, allowing users to receive content based on personal preferences and interests only. The algorithm analyses user choices and activities using Natural Language Processing to provide fans with the most relevant information on similar and personalized entertainment resources that are most likely what is being looked for, hence saving volumes of time.

Fandrum is now available for free on a Google Play Store App and will soon be available on Apple’s iOS App Store as well.

Recommendation Systems has been termed as the most advantageous alternative to search algorithms as it offers a personalized recommendation to the users’ taste. This feature can make the fan’s experience more enjoyable by automating the search process offering personalized related actors, series, movies, and shows.  Fandrum is proud to present a new technology that enables the customers to find the film, shows, fan communities that users might be interested in by leveraging the most powerful intelligence available today: Artificial Intelligence. Fandrum uses proprietary neural networks to learn the signals and patterns to create a customized feeding experience.

“From the very birth of the Internet, the element of choice has been a major factor in its development. With millions of different options to choose from in each search, the era of abundance is upon us. Today’s companies strive not only to customers with user-oriented products but also to develop new technologies in this area. And this is where AI-based recommendation systems come in handy.” – Vipul Chaube, Co-Founder at Fandrum 

The company has also released a new version of its App that offers users a more accurate and easier way to find and follow celebrities and fan clubs. Fandrum is a mobile application that helps fans find and follow celebrities and fans. Eager to make the user interface even better, the team behind the app has recently worked hard to introduce AI recommendation systems, which would help the users find new users to follow. The recommendation systems will help the fans streamline finding a new celebrity, shows, fan, or Movies.

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