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Reputation-Enhanced Recommender Systems (Best Paper Award)

URN to cite this document:
urn:nbn:de:bvb:355-epub-357679
Richthammer, Christian ; Weber, Michael ; Pernul, Günther
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Date of publication of this fulltext: 20 Jun 2017 06:10


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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