Nowadays users have access to an immense number of media content. They are able to consume thousands of TV channels and millions of video clips from online portals like YouTube. Due to the immense number of available content, users can have the problem to find content of interest. Recommendation systems are able to filter the immense number of recommendations and they are able to recommend content which fits to the interests of users. However, this research work presents a newly developed recommendation system which is able to increase the accuracy of predictions for recommendations. The...