GitHub / al4744 / rec-system
🎵 A Python-based content recommendation system using ML algorithms and matrix factorization techniques to analyze 600k-song dataset. Combines SVD, NMF, Factorization Machines, and Direct Similarity for personalized music suggestions. Handles cold start, optimizes with weighted similarity, and includes tools for visualization & evaluation.
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PURL: pkg:github/al4744/rec-system
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.93 MB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: audio-analysis, computational-efficiency, content-based-filtering, data-analysis, data-preprocessing-and-cleaning, data-visualization, dimensionality-reduction, genre-analysis, latent-space-visualization, machine-learning, matrix-factorization, music-metadata, numpy, pandas, recommendation-systems, scikit-learn, similarity-measures, user-modeling, user-preferences, vector-space-models