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The Borda Social Choice Movie Recommender

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2019

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Gesellschaft für Informatik, Bonn

Zusammenfassung

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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Kastner, Johannes; Ranitovic, Nemanja; Endres, Markus (2019): The Borda Social Choice Movie Recommender. BTW 2019. DOI: 10.18420/btw2019-31. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-683-1. pp. 499-502. Demonstrationen. Rostock. 4.-8. März 2019

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