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Poisson matrix factorization and automatic music tagging

Source code for the paper: Codebook-based Scalable Music Tagging with Poisson Matrix Factorization by Dawen Liang, John Paisley and Dan Ellis, in ISMIR 2014.

Dawen Liang

(C) Copyright 2014, Dawen Liang

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see

What's included:

There are four ipython notebook files, which will help reproduce the experiments in the aforementioned paper:

  • buildVQ_MSD.ipynb: Build the VQ Codebook for the Million Song Dataset and vector-quantize the MSD and save to disk.

  • processLastfmTags.ipynb: Process the tagging data from and build the vocabulary and bag-of-tags representation and save to disk.

  • tagging_ooc.ipynb: After building the VQ-histogram and bag-of-tags, this one will reproduce the results from the data saved on the disk.

  • tagging_in_memory.ipynb: If you have enough memory, you can also save the data from tagging_ooc.ipynb and directly fit to the PMF with this notebook.


  • numpy
  • scipy
  • scikit-learn (for evaluation metrics)
  • nltk (for tag stemming)


Poisson matrix factorization and autotagger




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