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.

The recommendations for different devices (web pages, apps, smart TV, etc.) are based on advanced analysis of your customer purchase history. The purchase history is sent to our servers along with information from the product catalog. Based on this data Comordo produce recommendations for each individual customer. The recommendations formatted to fit the current devices and are then imported by your APIs.

Applications 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.