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.
| Author: | Johannes KastnerGND, Markus EndresGND, Nemanja Ranitovic |
|---|---|
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/59410 |
| Parent Title (German): | 18. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), März 2019, Rostock, Deutschland |
| Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2019/08/01 |
| Year of first Publication: | 2019 |
| Publishing Institution: | Universität Augsburg |
| 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 |
