Repository for our 2019 Data Science Lab project at ETH Zurich, titled "Moving towards Dynamic Recommendation in CQA"
Install all requirements from the requirements.txt.
Follow the tutorial dump-to-postgres-tutorial.md to convert the database dump from stackexchange to a postgresql database.
Make sure that the postgresql server is running locally.
Run Baselines/choetkiertikul.py to generate the file containing all user-question pairs used for training and testing (this takes a couple of hours).
Run the notebook data-exploration/choetkiertikul.ipynb to train the random forest and generate plots.
Run gp_user2Lquestion.py to run GP-TOP-K. A number of command line arguments are available.