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Explorative Analysis of Recommendations Through Interactive Visualization

Richthammer, Christian and Pernul, Günther (2017) Explorative Analysis of Recommendations Through Interactive Visualization. In: Bridge, Derek and Stuckenschmidt, Heiner, (eds.) E-Commerce and Web Technologies, EC-Web 2016, Revised Selected Papers. Lecture Notes in Business Information Processing, 278. Springer, Cham, pp. 46-57.

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Date of publication of this fulltext: 06 Feb 2017 15:35

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Abstract

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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Item type:Book section
Date:February 2017
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Projects:FORSEC
Identification Number:
ValueType
10.1007/978-3-319-53676-7_4DOI
Keywords:Recommender systems, Interactive visualization, Search space, Explorative analysis
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:35145
Owner only: item control page

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