Research Model Showcase
Related Items
Maximize revenue and user engagement. Immerse your customers into your app/website by providing them with a rich browse and related items experience

Related items are personalized based on user-experience
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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    Personalized to User Preferences
    Our related items algorithms will show items that are personalized to a user's preferences related to a particular item. These maximize engagement and out-perform other algorithms or services in the market.
    Increase Session Length
    The best related items algorithms increase session length by showing users content that is most relevant to them. Our state-of-the-art online learning algorithms continuously experiment with new items and will suggest the best related item.
    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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