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spotify-recommendations

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Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

analytics content-based-recommendation correlation-analysis cosine-similarity exploratory-data-analysis kaggle kaggle-dataset recommendation-system spotify spotify-dataset tf-idf tf-idf-vectorizer university-project

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Name		Name	Last commit message	Last commit date
data		data
.gitignore		.gitignore
README.md		README.md
environment.yaml		environment.yaml
recommendation_cosinesim.ipynb		recommendation_cosinesim.ipynb
spotify1m-songs.zip		spotify1m-songs.zip

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Spotify-Recommendations

Based on Kaggle Notebooks

About

Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

analytics content-based-recommendation correlation-analysis cosine-similarity exploratory-data-analysis kaggle kaggle-dataset recommendation-system spotify spotify-dataset tf-idf tf-idf-vectorizer university-project

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