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Explorative Analysis of Recommendations Through Interactive Visualization

URN to cite this document:
Richthammer, Christian ; Pernul, Günther
Date of publication of this fulltext: 06 Feb 2017 15:35


Even though today's recommender algorithms are highly sophisticated, they can hardly take into account the users' situational needs. An obvious way to address this is to initially inquire the users' momentary preferences, but the users' inability to accurately state them upfront may lead to the loss of several good alternatives. Hence, this paper suggests to generate the recommendations without ...


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