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92. Probabilistic Topic Models Based Music Recommendation System

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Probabilistic-Topic-Models-Based-Music-Recommendation-System

Pattern Recognition course project

• Iimplemented LDA and HDP probabilistic topic models (in python) on music dataset

• Implemented Kullback-Leibler divergence to compute the similarity of music-topic distribution we got from 2 probabilistic topic models.

• Made music recommendations based on KL and compared performance of 2 models.