Map MusicBrainz meta data to 38,000 unique rows of artist recordings/tracks and validate/verify data

I have a playlist of roughly 45,000 tracks, where about 7,000 are duplicate artist/tracks. I want to use the MusicBrainz api to get the MB artist and recording ID for each track, with the respective artist and track titles to validate accuracy. I've used their search API in the past, but the problem is that the basic search queries are not always accurate and don't return the track listed in the basic query due to nuances in titles/artists. An advanced strategy with indexed search, fuzzy searching and other matching algorithms (or manual validation) should be used to correctly tag the tracks.

Evner: Datavidenskab, Machine Learning (ML), Data Analysis, Databehandling, Algoritme

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Om arbejdsgiveren:
( 36 bedømmelser ) Austin, United States

Projekt ID: #22288770

9 freelancere byder i gennemsnit $172 på dette job


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