michael-halim/big-data-netflix

🎥👨‍🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods

Contributor

• Bryan Liauw @bryanliauw
• Dick Jovian @jovian6

About

Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods. We use Pyspark to process this massive netflix data

Preparation

• We formatted data in netflix in combined_data_1.txt, combined_data_2.txt,combined_data_3.txt,combined_data_4.txt to txt and then change it to .csv files
• Then the data is ready to use

Installation

• Install Java 8 to run Pyspark https://www.oracle.com/java/technologies/downloads/#java8
• Install Pyspark
• Install Jupyter Notebook
• run main.ipynb in Jupyter Notebook

Dataset

https://www.kaggle.com/datasets/netflix-inc/netflix-prize-data