This recommender is deployed using the SBT tool. In addition, it will use hadoop to locate the dataset in the route hdfs://hadoop-master:9000.

Firstly it is needed to deploy the hadoop system, follow this tutorial: https://github.com/alejandrolr/hadoop-cluster

It will create the docker network hadoop for the communication between containers. Once deployed, you must execute these following commands:

sudo docker pull alejandrolr/recommender-hadoop:latest

docker run --net=hadoop -it alejandrolr/recommender-hadoop:latest

Once inside the container go to the path sbt-recommender:

cd /sbt-recommender

The code is in the folder ./src/main/scala, you can edit and recompile executing:

sbt compile 

Once compiled, you can package the program with:

sbt package

Once packaged, run the recommender executing:

spark-submit ./target/scala-XXX/recommender-XXX.jar