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Interactive Visualization of Recommender Systems Data

Richthammer, Christian, Sänger, Johannes and Pernul, Günther (2017) Interactive Visualization of Recommender Systems Data. In: 4th Workshop on Security in Highly Connected IT Systems (SHCIS), Neuchâtel, Switzerland.

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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 ...

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Item type:Conference or workshop item (Paper)
Date:2017
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Projects:FORSEC
Identification Number:
ValueType
10.1145/3099012.3099014DOI
Keywords:Recommender systems, interactive visualization, data types
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36211
Owner only: item control page

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