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.
Your Personalized Content
Personalized for a User
After receiving all the user’s data including his historical behavior, organize content in a unique, personalized way.
Recently Interacted With
Display the content the user recently interacted with.
Similar Content
Show content similar to one the user had already interest in, based on common content attributes.
Liked This, Try That
Recommend the content to users with similar tastes and habits based on their previous behavior.
Most Popular Content
Show your most engagement and trending content.
Latest Content
Display the newest, recently added or released content.
Personalized Search
Enhance your online experiences with tailored search results.
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 ensambles.
Advanced Business Rules
Our solutions enables 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
Success Stories
"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."
"Recombee is capable of scaling the service and keeps pace with our rapid growth. Constant innovation and proactive development of new features makes our collaboration smooth and pleasant."
"We conducted A/B testings of multiple recommendation engines to find the best content personalization solution. Out of all solutions, only Recombee outperformed our internal read-next recommendations of news articles. After long-lasting A/B testing, Recombee achieved 40% higher CTR of suggested articles, which ultimately led to deployment of the solution to most of our news sites (iDNES, Lidovky, Expres)."
"Recombee allows us to modify how we want the recommendations to behave across our platforms in very specific use cases. The implementation of Recombee on the VOD platform prima+ helped us to increase video views by 34% and ad views by 73%, resulting in a significant rise in advertising revenue. Another major success has been the growth of recirculation, which is our top priority on online magazine platforms. We are currently discussing extending their recommendations also to our emails. Highly valued partnership!"
Our Customers
and 1000+ other sites and apps.