Spotify Recommendation System

Spotify Recommendation System Using Spotify Million Playlist Dataset
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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UC Berkeley team's submission for RecSys Challenge 2018
Spotify_recsys_challenge_201849
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2018 Spotify ACM RecSys Challenge 2'nd Place Solution
Spotify_song_recommender24
2 years agomitJupyter Notebook
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
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10 months agomitJupyter Notebook
Spotify Recommendation System Using Spotify Million Playlist Dataset
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Building a recommendation engine using data available via the Spotify API.
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A JavaFX music recommendation app that uses the Spotify API to create playlists.
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A simple Music Recommender system built using Collaborative filtering and Spotify API. Built on top of MERN stack
Spotify Api5
8 months ago61October 22, 2023Python
Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist
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Python
Jupyter Notebook
Spotify
Recommendation System
Spotify Api