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 180 16

2. HyperbolicRecommenders

   Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.

   Python 15 1

3. recsys19_hybridsvd

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

   Jupyter Notebook 23 11

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 28 10

5. ipypb

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

   Python 37 2

6. acaml2018_recsys

   Jupyter Notebook 3