movie-recommender

Practice of building personalized movie recommenadation service using Flask and Spark Referrence: A scalable on-line movie recommender using Spark and Flask

Usage

spark-submit --master 'local[*]'  --total-executor-cores 14 --executor-memory 6g  server.py

http:https://0.0.0.0:<int:port>/<int:user_id>/ratings/top/<int:count>

http:https://0.0.0.0:<int:port>/<int:user_id>/ratings/<int:movie_id>

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
__pycache__		__pycache__
dataset/movielens/small		dataset/movielens/small
util		util
README.md		README.md
app.py		app.py
data.txt		data.txt
engine.py		engine.py
server.py		server.py