Application Recommender

Improve customer experience through Comordos’ personalized recommendations in your applications. Our intelligent recommendation algorithms will help you increase relevance, discovery and engagement for your customers. By optimizing the customer experience you will reduce your customer churn that will improve your profits and revenue.

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

Our data science and AI-platform analyse customer behavior and product metadata through machine learning, statistical modelling, clustering, advanced mathematics such as optimization and matrix factorizations. Customer behavior can be data collection such as consumption, favorites, viewings, showed and ignored recommendations, clicks and ratings. Recommendations that our platform produce are formatted and reached by you through our simple and flexible REST API. Regardless if the recommendation data is for your web, app, newsletter or social media applications.

Application Recommender is well suitable for the media industry with content such as news, e- and audio books, film and television, music, pod casts, magazines and radio.