Building Recommendation Engine with Scala

Description

This source-code contains all files for the book Building Recommendation Engine with Scala. The root folder of the codebase contains code examples as described below.

README.txt -- this file
build.sbt  -- SBT configuration file for this project
datasets   -- a subset of dataset used in the book
images     -- plots generated for the book
output     -- output files generated for the book
scripts    -- data manipulation scripts
src        -- code examples for the book
unified-recommender  -- Unfied Recommender example for PredictionIO
webapp-recommender   -- Web-app using Amazon dataset 

Requirements?

• JDK 7 or later
• Scala 2.10.4 or later
• SBT 0.13 or later
• Python 2.6 / 2.7 with Pandas and Matplotlib

How to build?

Usually you only need to have above dependencies installed. Other dependencies are mentioned in the book as required.

For the most part you only need to invoke following command:

sbt 'run-main <FULLY-QUALIFIED-CLASS-NAME> <ARGUMENTS>'

Where <FULLY-QUALIFIED-CLASS-NAME> should be replaced with complete class name and <ARGUMENTS> should be replaced with the Command Line arguments.