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The EOSC Recommender Metrics Framework is comprised of three main components.
- The Preprocessor component is tasked with retrieving data from various sources in either batch or real-time mode, storing it in a MongoDB database.
- The RS Metrics component undertakes complex calculations involving statistics, metrics, and Key Performance Indicators (KPIs).
- The API/UI entails a RESTful API coupled with a user-friendly UI dashboard, seamlessly delivering reports as a web service and visually presenting metrics.
Instructions on how to build each one of the services described above can be found in this EOSC Recommender Metrics Framework README.