https://github.com/aureliusivan/spotify-recommender-system-with-word2vec

This project is a recommender system for Spotify songs. The system uses the Word2Vec model to find similar songs based on the song's lyrics.
https://github.com/aureliusivan/spotify-recommender-system-with-word2vec

keras mongodb spark word2vec

Last synced: 10 days ago
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This project is a recommender system for Spotify songs. The system uses the Word2Vec model to find similar songs based on the song's lyrics.

• Host: GitHub
• URL: https://github.com/aureliusivan/spotify-recommender-system-with-word2vec
• Owner: AureliusIvan
• License: mit
• Created: 2024-03-17T16:52:02.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-09-24T20:57:05.000Z (about 1 month ago)
• Last Synced: 2024-10-10T19:28:52.362Z (27 days ago)
• Topics: keras, mongodb, spark, word2vec
• Language: Shell
• Homepage:
• Size: 247 KB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Spotify Recommender System with Word2Vec

## Introduction

This project is a recommender system for Spotify songs. The system uses the Word2Vec model to find similar songs based on the song's lyrics. The system is implemented in Python and uses the Gensim library to train the Word2Vec model. The system uses the Spotify API to get the lyrics of the songs. The system is implemented in a Jupyter Notebook and is available on GitHub. The system is a content-based recommender system, which means that it recommends songs based on the song's content. The system is evaluated using the Mean Average Precision (MAP) metric