Characteristics
Basically, commendo delivers fully customized recommendation engines, in detail collaborative and content filtering algorithms, which calculate predictions resp. recommendation scores. These engines can be integrated into existing online trading or information systems.
commendo's recommendation solution is characterized by:
- Leading technology, concerning
- Autonomy
- Individuality and flexibility
- Algorithm tuning possibilities
Accuracy and speed: The success in the Netflix Prize shows best, how efficient commendo’s recommender algorithms perform, since the main intention of the competition was to gain the best models concerning prediction accuracy.
Autonomy: commendo’s solution will be integrated into the customer’s system. Thus we provide a stand-alone solution, which is designed to become part of your whole in-house solution.
Individuality and flexibility: Specific needs and wishes will be considered, when developing and implementing the customized recommender engine. Compared to our competitors, the fact that we deliver customized recommender systems and not “ready made solutions” is the main and most important difference.
Algorithm tuning possibilities: commendo’s recommender algorithms are based on proven scientific models, which can be evolved especially from customer’s data, in order to get best recommendations for each different case of application.
