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An implementation of Distributed Alternating Least Squares to perform matrix factorization in Spark

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Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
config		config
input		input
logs		logs
outputs		outputs
src/main		src/main
.gitignore		.gitignore
README.md		README.md
dependency-reduced-pom.xml		dependency-reduced-pom.xml
netflix_preprocessing.py		netflix_preprocessing.py
pom.xml		pom.xml

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Matrix Factorization with Alternating Least Squares (ALS)

Spark - Matrix Factorization using ALS

Dependancies

The following components are installed:

JDK 1.8 (OpenJDK 8)
Scala 2.11.12
Hadoop 2.9.2
Spark 2.3.1 (without bundled Hadoop)
Maven
AWS CLI (for EMR execution)

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An implementation of Distributed Alternating Least Squares to perform matrix factorization in Spark

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