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State of the Art of Reputation-Enhanced Recommender Systems

URN to cite this document:
urn:nbn:de:bvb:355-epub-379376
DOI to cite this document:
10.5283/epub.37937
Richthammer, Christian ; Weber, Michael ; Pernul, Günther
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Date of publication of this fulltext: 08 Nov 2018 10:17


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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