latent-space-visualization

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al4744 / rec-system
🎵 A Python-based content recommendation system utilizing 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.
audio-analysis computational-efficiency content-based-filtering data-analysis data-preprocessing-and-cleaning data-visualization dimensionality-reduction genre-analysis machine-learning matrix-factorization music-metadata numpy pandas recommendation-systems scikit-learn similarity-measures user-modeling user-preferences vector-space-models latent-space-visualization
Language:Jupyter Notebook 0

al4744 / rec-system