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• W4386728891 abstract "The truncated singular value decomposition is a widely used methodology in music recommendation for direct similar-item retrieval and downstream tasks embedding musical items. This paper investigates a curious effect that we show naturally occurring on many recommendation datasets: spiking formations in the embedding space. We first propose a metric to quantify this spiking organization’s strength, then mathematically prove its origin tied to underlying communities of items of varying internal popularity. With this new-found theoretical understanding, we finally open the topic with an industrial use case of estimating how music embeddings’ top-k similar items will change over time under the addition of data." @default.
• W4386728891 created "2023-09-15" @default.
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• W4386728891 date "2023-09-14" @default.
• W4386728891 modified "2023-09-27" @default.
• W4386728891 title "Of Spiky SVDs and Music Recommendation" @default.
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• W4386728891 doi "https://doi.org/10.1145/3604915.3608850" @default.
• W4386728891 hasPublicationYear "2023" @default.
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