In collaboration with our partner Leibnitz-Informationszentrum Wirtschaft (ZBW) we've created a social book recommender system. The recommendations are based on the rental information of two different platforms, which are then combined within the ScaR framework. This enables to create recommendations on a bigger set of interactions and create meaningful recommendations for each platform individually. The main focus has been on the interaction, hence, utilizing collaborative filtering methods for recommending books to user or books for certain bookmark lists. Further, in this collaboration we've used the rental interaction data to create a easy to browse and understand bubble visualization.

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