An Apache Spark implementation of PageRank style collaborative filtering with trust

• tested for a ~25m user, 100k item dataset on my 16gb MBP
• lazy loading of data
• Map Reduce friendly algorithm

see explanation

Two input files are required + Spark. See the data folder for an example of both types.

1. a CSV file describing trust relations between users
2. a file describing user scores for items

With these files, run bin/run with the appropriate arguments pointing to your input files, directory and output file. The output is a CSV with user, item, rating.