Pinned

1. polara

   Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

   Python 176 16

2. recsys19_hybridsvd

   Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

   Jupyter Notebook 21 11

3. ipypb

   Python progress bar with rich output that uses native ipython functionality. Widget-free. Works even in JupyterLab.

   Python 36 1

4. fifty-shades

   Source code to support ACM RecSys'16 paper "Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks"

   Jupyter Notebook 27 10

5. acaml2018_recsys

   Jupyter Notebook 3

6. tensor_notes

   Forked from rballester/tensor_notes

   1