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An INsightful SPotIfy (Song) REcommendation System
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INSPIRE-site Created homepage Apr 24, 2019
app Add routing Apr 24, 2019
clustering clustering on 60k songs with recommendations and 2d projection Apr 7, 2019
data_collection
exploratory_analysis Exploratory viz and feature engineering Apr 13, 2019
inspire_app Update css references to cdn Apr 27, 2019
.DS_Store added searched song onto radar chart for some initial visualization p… Apr 24, 2019
.gitignore Ignore all cache files so we do not push keys Feb 10, 2019
Loudness_dist.png Update bin widths Apr 24, 2019
NearestSongs.ipynb Added principal components in 2D to song recommendations Mar 28, 2019
README.md Update README.md Mar 26, 2019
clustered.csv Updated clustering to remove time; included PCA; Notebook to calculat… Mar 26, 2019
eda.R Update bin widths Apr 24, 2019
explore.Rmd Updated clustering to remove time; included PCA; Notebook to calculat… Mar 26, 2019
recommendations_with_components.csv Added principal components in 2D to song recommendations Mar 28, 2019
songs_with_recommendations.csv Fix column headers Mar 28, 2019
tempo_dist.png Update bin widths Apr 24, 2019

README.md

INSPIRE

Spotify currently provides song recommendations, but provides no indication of how the recommendation is made. Other streaming platforms like Netflix state which show invoked a recommendation. INSPIRE is an application currently focusing on pop songs that provides song recommendations with insightful comparisons.

James Chen '18/'19, Max Chen '21, Shalin Mehta '21, Brandon Truong '19

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