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This project summarizes the basic steps required to implement a basic recommendation engines that suggests new bands to users. Data are fetched from the open dataset of ListenBrainz in Bigquery. The recommendation engine is built by hacking the keras embedding layers to perform matrix factorization.

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davide-chiuchiu/Music_recommendation_engine_with_tensorflow

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Recommendation engine

This project aims to develop a tensorflow prediction model from data that are stored in bigquery. As such, this project will combine two earlier project I previously developed, but in the context of giving recommendations of musical bands.

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This project summarizes the basic steps required to implement a basic recommendation engines that suggests new bands to users. Data are fetched from the open dataset of ListenBrainz in Bigquery. The recommendation engine is built by hacking the keras embedding layers to perform matrix factorization.

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