This repository contains the data and the notebooks of an implementation of a model described in [1]. The blog post is here.
The data is the movielens 2k dataset by - GroupLens research group.
1. Merging.ipynb
contains the code for the merging of the data.
2. Preprocessing.ipynb
conatins the code for some basic preprocessing.
3. Modeling.ipynb
is the modeling part takes place.
4. Results.ipynb
contains the visualizations of the results.
[1] P. Gopalan, J. Hofman, D. Blei. Sacalable Recommendation with Hierarchical Poisson Factorization. Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. 2015