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Reputation-Enhanced Recommender Systems (Best Paper Award)

Richthammer, Christian, Weber, Michael and Pernul, Günther (2017) Reputation-Enhanced Recommender Systems (Best Paper Award). In: Steghöfer, Jan-Philipp and Esfandiari, Babak, (eds.) Trust Management XI. IFIPTM 2017. IFIP Advances in Information and Communication Technology, 505. Springer, Cham (Switzerland), pp. 163-179. ISBN 978-3-319-59170-4 (print), 978-3-319-59171-1 (online).

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Date of publication of this fulltext: 20 Jun 2017 06:10

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Abstract

Recommender systems are pivotal components of modern Internet platforms and constitute a well-established research field. By now, research has resulted in highly sophisticated recommender algorithms whose further optimization often yields only marginal improvements. This paper goes beyond the commonly dominating focus on optimizing algorithms and instead follows the idea of enhancing recommender ...

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Item type:Book section
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
10.1007/978-3-319-59171-1_13DOI
Keywords:Recommender systems, Decision support systems, Reputation, Trust, Reputation-enhanced recommender systems
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:35767
Owner only: item control page

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