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Go With the Flow: Stardust Releases AI-Powered In-App Recommendations

Stardust Users Will Experience More Curated Recommendations to Create a Seamless and Personalized In-App Experience

Stardust, the leading social app for fans to follow and discuss their favorite movies and TV shows, announced “Weekly Recs”, a new recommendation flow for their users worldwide. The integration provides a GDPR compliant, streamlined solution to improve customer experiences through a new platform powered by artificial intelligence and machine learning. This creates a customized set of movie and TV recommendations for each user based on their previous interests, ratings, and other interactions within the app.

Stardust 2 (1)

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Users can now sign into the app and experience a seamless interface that provides them with more custom content aligning with their preferences, including curated news, media reviews and happenings, as well as community videos, comments, and ratings.Stardust_Weekly_Recs_ScreenView

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“The online journey starts with a question, and online reviews are one of the first places people turn to for answers when deciding whether or not to interact with products and experiences — film and television engagement is no different,” said Derek Forbes, CEO of Stardust. “Audiences spend five hours a day on average watching content. It has never been more paramount to the industry to provide a place where audiences can rate, discuss and review programming across various genres. Stardust has become that home, and we couldn’t be more excited for our users to experience our new upgraded platform to find what they are looking for more efficiently.”

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MTS Staff Writer
MTS Staff Writerhttps://martechseries.com/
MarTech Series (MTS) is a business publication dedicated to helping marketers get more from marketing technology through in-depth journalism, expert author blogs and research reports.

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