Movie Recommender System BY

This tutorial will guide you to build movie recommender engine using collaborative filtering with Spark's Alternating Least Saqures

This tutorial consist of python app and jupyter notebbok

python app

python app contains the engine.py , server.py and app.py

• server.py -> contains cherry server configurations
  

• app.py -> contains app end-points
  

• engine.py -> contains core engine
  

Needed packages for python app

• CherryPy

• PasteScript

• flask you can setting your environment as follow

  To create new virtualenv

      conda create -n myenv python=3.5

  To activate your virtual environment

      source activate myenv

  To install need packages

  conda install cherrypy

  To install flask

  conda install flask

  To install pastescript

  conda install pastescript

  To install jupyter

  conda install jupyter

To open jupyter notebook

jupyter notebook

To run server

$SPARK_HOME/bin/spark-submit server.py

APP endpoints At 0.0.0.0:5432