How did we learn user behavior to recommend suggestions with a seamless experience?

App-Scoop team partnered with a social platform to build a customized self learning recommendation engine.  Our development team looked at the problem and developed a machine learning algorithm.

Recommendation Engine learns the user's preferences, most visited locations, user generated content and connections and recommends them personalized content. This drives user engagement within the app and average time spent on the platform.  

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The result?
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Increased User Engagement

Higher Visibility for Businesses