##Introduction

This is a prototype implementation of the MinHash technique for quickly estimating how similar two sets are.

##Requirements

• Sbt 0.13
• Python (for creating datasets)
• Java 1.7 or higher

##Extra Folders

• generator/: contains a python script (generator.py) to generate datasets.
• input/: contains two sampleInputs ready to be used.
• report/: contains the latex source for this project report.

##Build and Run

• From a console, go to the project source folder and execute:

	$> sbt "run <path to input> <number of hash functions> <user to be recommended>"

For example:

    $> sbt "run input/sampleInput2.txt 4 2" 

The output should give a List[(userId,SimIndex)] in descending order and a list of products to be recommended.

Note: for number of hash functions more than 5, it may need to run the algorithm several times until a recommendation is shown.