Erin Benderoff 27768478
Francis Bouchard 26786812
Description of Files:
als-recommender.py Script that runs ALS algorithm on the sample dataset, evaluates the model and generates top 10 subreddit recommendations for a subset of users.
frequentitemsets.py Script that was run on Google Cloud cluster. Runs FP-Growth algorithm to obtain frequent itemsets and association rules on the February 2018 dataset.
fp_growth_merge_and_print_results.py Script that takes the output of the FP-Growth script (saved as parquet files), merges them into a single dataframe and writes the frequent itemsets to a file in order of descending itemset size and descending frequency.
frequentLoad.py Script that loads the FP-Growth results and displays the association rules.
als-output.txt Output of ALS user recommendations
fp-growth-output.txt Output of FP-Growth frequent itemsets
association-rules-output.txt Output of FP-Growth association rules
sample_data.json Sample data file used for ALS recommender