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State of the Art of Reputation-Enhanced Recommender Systems

Richthammer, Christian, Weber, Michael and Pernul, Günther (2018) State of the Art of Reputation-Enhanced Recommender Systems. Web Intelligence 16 (4), pp. 273-286.

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Other URL: https://content.iospress.com/articles/web-intelligence/web394


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:Article
Date:31 October 2018
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
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Keywords:Recommender systems, Decision support systems, Reputation, Trust, Reputation-enhanced recommender systems
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:37937
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