Application Recommender

Improve your user experience through Comordos’ personalized recommendations in your applications. Our smart recommendation algorithms will help you increase relevance, discovery and engagement for your users.

Comordos’ recommendation is based on smart machine learning algorithms combined with a configurable business logic, together with A/B testing and follow-up on their true effects on key measurements like relevance, discovery and engagement.

Our AI-platform analyze user behavior and product metadata through machine learning, clustering, advanced mathematics such as optimization and matrix factorizations. User behavior can be data collection such as consumption, favorites, viewings, showed and ignored recommendations, clicks and ratings. The recommendations that our platform produce is formatted and reached by our customer through our simple and flexible API.

Application Recommender is well suitable for on-demand services with content such as e- and audio books, film and television, music, pod casts, magazines and radio.