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Auflistung nach Autor:in "Abels, Stephan"

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  • Konferenzbeitrag
    Graph Complexity in visual recommender systems for scientific literature
    (Mensch und Computer 2016 – Workshopband, 2016) Abels, Stephan; Greven, Christoph; Valdez, André Calero; Schroeder, Ulrik; Ziefle, Martina
    Digital libraries are becoming larger, while suffering from inefficient interfaces and search patterns. Recommender Systems are a sensible and important service for users of digital libraries. The aim of recommender systems is to reduce cognitive effort, simplify search and to embed results in a larger context. In this article we compare to recommender systems – the Action Science Explorer and Papercube. Both systems are used to recommend scientific literature and use graph-based approaches. From user studies we derive the need for research to understand complexity of graphs.