Interactive Visualization of Recommender Systems Data

URN to cite this document:: urn:nbn:de:bvb:355-epub-362110
DOI to cite this document:: 10.5283/epub.36211

Richthammer, Christian ; Sänger, Johannes ; Pernul, Günther

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Date of publication of this fulltext: 27 Sep 2017 07:34

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Abstract

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 ...