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FairRecKit

The FairRecKit is an easy-to-use web-based analysis software that aids researchers in understanding the underlying mechanisms of recommender systems. The final product features 5 datasets, 11 metrics and over 20 different recommendation algorithms to be used in experiments. The FairRecKit is developed with a modular design in mind, to make it easily accessible and extendable for future developers. It consists of two components: A software package that is used to run recommendation algorithms on the available datasets and an online platform where the researcher can start experiments and interpret the results of previous experiments. The application also comes with an extensive documentation and options for result customization. This makes for a flexible tool that supports researchers in a way that was not possible before.