Configuring and monitoring recommender system as a service

Many small and medium e-commerce retailers and publishers use recommender systems (RS) to personalize the website content. Many of them do not have an on premise solution for doing that, but rather contact a company that delivers the RS as a service to their website. The service is then responsible for collecting and storing the data, building recommendation models, and answering recommendation requests. Once the integration to such a service is done, the e-commerce retailer still wish to have some control on the service. Control that allows him to configure the recommendation models, turn off/on the service, apply filters on recommendations, define fallback models and more. In this demo we provide an overview of a real backend system which enables to a typical website owner exactly these capabilities. Capabilities for controlling the RS service in terms of configuration, management and monitoring.