Practice of building personalized movie recommenadation service using Flask and Spark Referrence: A scalable on-line movie recommender using Spark and Flask
spark-submit --master 'local[*]' --total-executor-cores 14 --executor-memory 6g server.py
http://0.0.0.0:<int:port>/<int:user_id>/ratings/top/<int:count>
http://0.0.0.0:<int:port>/<int:user_id>/ratings/<int:movie_id>