Research Model Showcase
Personalized Re-Ranking of Lists
Re-rank search results or list of items based on a user preferences. Maximize user engagement and revenue

Personalize search results and other lists
Maximize multiple objectives such as total revenue, engagement and diversity
Completely autonomous - no data hassles or re-training headaches

Our unique blend of reinforcement learning and deep learning-based technology works even when you have little historical data and have to deal with a fast-changing catalog or multiple new users.
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  • Project Dashboard 
    Re-Rank Lists Or Search Results
    Re-rank based on user preference. Increase user engagement, session length, and revenue.
    Discover Viral Items
    Our state-of-the-art algorithm will re-rank results based on both popularity and user preferences. This ensures that the popular items surface quickly and potentially go viral.
    Completely Autonomous
    Our recommender AI is completely autonomous. You don't have to write code to schedule re-training or data refreshes.
    Maximize Revenue
    Our online learning models optimize across multiple objectives. You can maximize long term engagement and revenue at the same time.
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