The recommendations are computed using various machine learning algorithms (collaborative filtering methods, text mining, deep learning, etc.).
The recommendations are updated in real-time - meaning that right from the first click and any following interaction (such as view or bookmark of a product) the system retrains itself and takes this information into account while generating recommendations.
Recombee solution is highly scalable and can serve thousands of recommendations per second.
It can be used for various use-cases in multiple domains. For example, content recommendations can be applied in VoD, news, articles, media, real estate, job portals or gaming. Product recommendations are typically used in e-commerce or classifieds

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