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Content Recommendations

Improve User Engagement and Retention with Content Recommendations

Personalize the user experience through real-time recommendation engine. Organize your content in the most relevant way for individual users based on their behavior and preferences.

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Your Personalized Content

  1. 01

    Personalized for a User

    After receiving all the user’s data including his historical behavior, organize content in a unique, personalized way.

    Personalized for a User
  2. 02

    Recently Interacted With

    Display the content the user recently interacted with.

    Recently Interacted With
  3. 03

    Similar Content

    Show content similar to one the user had already interest in, based on common content attributes.

    Similar Content
  4. 04

    Liked This, Try That

    Recommend the content to users with similar tastes and habits based on their previous behavior.

    Liked This, Try That
  5. 05

    Most Popular Content

    Show your most engagement and trending content.

    Most Popular Content
  6. 06

    Latest Content

    Display the newest, recently added or released content.

    Latest Content
  7. 07

    Personalized Search

    Enhance your online experiences with tailored search results.

    Personalized Search

Core Technology

  • Adapting to your Data

    Personalization based on the Collaborative and Content-based filtering algorithms.

  • Dynamically Retrained Models

    Real-time Personalization for your individual user at every point.

  • Accelerated Integration

    Quick Integration through our well documented and easy to use APIs, SDKs.

  • AI-powered A/B Testing

    To keep maximal KPIs at any time, AutoML AI is applied to optimize the algorithm ensembles.

  • Advanced Business Rules

    Our solutions enable quick and easy addition of any Business Rules through boosters or filters.

  • Real AI Inside

    Formation of Deep Neural Networks helps to predict the next action based on the historical behavior.

How Recombee Works

How Recombee Works Schema

Success Stories

Unfiltered Media Group
Haydn Strauss

Haydn Strauss

COO at Unfiltered Media Group

"Prior to Recombee, we used a general recommendation algorithm based on popularity and date published. Since moving our recommendation system to Recombee, we’ve seen a 50% increase in click-through across our 5 media brands (millions of readers per month). Recombee was easy to integrate, test, and deploy within just a couple of hours."

50%

Increase in Click Through Rate

Our Customers

The Telegraph9GAGAudiomackUnfiltered Media GroupStingrayMAFRAFTV PrimaPathé ThuisShowmax

and 1000+ other sites and apps.

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  • Improve User Experience
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