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 behaviour 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.
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.
Display the newest, recently added or released content.
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.
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 behaviour.
How Recombee Works
"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)."
"Our cooperation with Recombee is very fruitful. We are having periodic calls where we are discussing possibilities for adjusting and improving current models to perform better for our use-case and also looking for new places for the deployment of personalized recommendations. So far, Recombee helped us to increase our CTR on the homepage by 15% and boost video views by 3.5 %. At the moment we discuss recommendations from linear TV to video on demand archive, which can bring our cooperation to even higher level. Highly valued partnership!"
and 1000+ other sites and apps.