The Borda social choice movie recommender

  • In this demo paper we present a recommender system, which exploits the Borda social choice voting rule for clustering recommendations in order to produce comprehensible results for a user. Considering existing clustering techniques like k-means, the overhead of normalizing and preparing the preferred user data is dropped. In our demo showcase we facilitate a comparison of our clustering approach to the well known k-means++ with traditional distance measures.

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Author:Johannes KastnerGND, Markus EndresGND, Nemanja Ranitovic
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Parent Title (German):18. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), März 2019, Rostock, Deutschland
Type:Conference Proceeding
Year of first Publication:2019
Release Date:2020/01/22
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Datenbanken und Informationssysteme