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All Projects → dawenl → Cofactor

dawenl / Cofactor

Licence: apache-2.0
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Programming Languages

python
139335 projects - #7 most used programming language

Labels

jupyter-notebookrecommender-systemembeddingsmatrix-factorization

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CoFactor

This repository contains the source code to reproduce the experimental results as described in the paper "Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence" (RecSys'16).

Dependencies

The python module dependencies are:

  • numpy/scipy
  • scikit.learn
  • joblib
  • bottleneck
  • pandas (needed to run the example for data preprocessing)

Note: The code is mostly written for Python 2.7. For Python 3.x, it is still usable with minor modification. If you run into any problem with Python 3.x, feel free to contact me and I will try to get back to you with a helpful solution.

Datasets

We adapted the weighted matrix factorization (WMF) implementation from content_wmf repository.

Examples

See example notebooks in src/.

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