Music-Recommender-System | Music Recommender System using Collaborative Filtering

by gauravsummer Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Music-Recommender-System Summary

Music-Recommender-System is a Jupyter Notebook library. Music-Recommender-System has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Project completed as part of the ADBI 591 course at NCSU. Created a recommender system that will recommend new musical artists to a user based on their listening history. Suggesting different songs or musical artists to a user is important to many music streaming services, such as Pandora and Spotify. In addition, this type of recommender system could also be used as a means of suggesting TV shows or movies to a user (e.g., Netflix). Completed using Apache Spark, Python and the Collaborative filtering technique.

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Support

Music-Recommender-System has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Music-Recommender-System has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Music-Recommender-System is current.

Quality

Music-Recommender-System has no bugs reported.

Security

Music-Recommender-System has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Music-Recommender-System does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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Music-Recommender-System releases are not available. You will need to build from source code and install.

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Music-Recommender-System Key Features

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Music-Recommender-System Examples and Code Snippets

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Vulnerabilities

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You can download it from GitHub.

Support

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