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Interactive Visualization of Recommender Systems Data

URN to cite this document:
Richthammer, Christian ; Sänger, Johannes ; Pernul, Günther
Date of publication of this fulltext: 27 Sep 2017 07:34


Recommender systems provide a valuable mechanism to address the information overload problem by reducing a data set to the items that may be interesting for a particular user. While the quality of recommendations has notably improved in the recent years, the complex algorithms in use lead to high non-transparency for the end user. We propose the usage of interactive visualizations for presenting ...


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