2021
DOI: 10.48550/arxiv.2108.01632
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An Interpretable Music Similarity Measure Based on Path Interestingness

Giovanni Gabbolini,
Derek Bridge

Abstract: We introduce a novel and interpretable path-based music similarity measure. Our similarity measure assumes that items, such as songs and artists, and information about those items are represented in a knowledge graph. We find paths in the graph between a seed and a target item; we score those paths based on their interestingness; and we aggregate those scores to determine the similarity between the seed and the target. A distinguishing feature of our similarity measure is its interpretability. In particular, w… Show more

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