Songs Tindern was created to help open-minded music fans find new music they like without a biased recommendation system getting in the way.
The principle is easy: once you logged in with your Spotify account (premium is required) and select your game mode our app presents random songs to you, which you can either like (swipe right) or dislike (swipe left) according to the interaction principle known from dating sites. All liked songs are saved and can be added to playlists on your Spotify account after the user is finished swiping. You can also see all songs you ever liked in the history and add songs to playlists from there. Moreover the statistics tab allows you to find out more about your preferences and biases. For a more varied experience, we offer four different game modes that require faster decision-making and/or hide information to eliminate even more biases.
Currently, the app is still in review by Spotify and therefore only few users, which we have to add to our Spotify developer account can use our hosted version of the app. Alternatively you can download the code and change it to use your own Spotify developer account.
The app is available under: https://songs-tindern.herokuapp.com/
For more information (in german) about how to use the app check out this extensive description.
Songs Tindern was developed as a project at the University of Regensburg (Chair for Media Informatics) by
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Markus Schmidbauer Github: 00Markus0 E-Mail: markus.schmidbauer@stud.uni-regensburg.de Current E-Mail: m.schmidbauer@campus.lmu.de |
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Annika Köhler Github: 4nn1k4 E-Mail: annika.koehler@stud.uni-regensburg.de Current E-Mail: annika.koehler@campus.lmu.de |
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Jannik Wiese Github: ragor114 E-Mail: jannik.wiese@stud.uni-regensburg.de Current E-Mail: jannik.wiese@campus.lmu.de |