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This short document contains two phrases: "Amplifier song" and "Lol song", suggesting it is a list of two song titles or genres. In just 3 words and 4 words respectively, it provides very little context about the content or meaning of the potential songs.

Education Economy & Finance Business

This poster presents a machine learning approach for analysing user data that specifies song similarity. Understanding how we relate and compare music has been a topic of great interest in musicology as well as for business applications, such as music recommender systems. The way music is compared seems to vary between different cultures. Adapting a generic model to user ratings is useful for personalisationand can help to better understand such differences. • 5-fold cross validation with test-sets of ~106 binary rankings, evaluate fulfilled rankings Test Set: MLR: 82% mlrDiag:71% •TagATunegamers have to agreeon the “outlier”clip out of 3 •Data for 533 clip triplets Avg. 14 votes per triplet 1019 clips included

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Project f.s copy

1. Amplifier song Lol song

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