An end-to-end Movie Recommender System

Project Link: Blog Link: TBD

• Recommender System: Python, pandas
• Web service: Nodejs
• Dataset: Movielens
• AWS: S3, DynamoDB

Make sure you have installed these:

• Python3
• nodejs
• have aws iam tokens (and setup in ~/.aws/credentials and ~/.aws/config)

This module will fetch dataset from S3 and create recommendation for every movie and save in dynamodb.

• cd in module
• Make sure you have movie lens dataset somewhere in your s3
• run cp .env.sample .env and add the necessary values
• Run python3 fetch-dataset-from-s3.py
• You should see files in /tmp/ folder if you have not got any error

• Then to create a csv of recommendation of every title with ratings, run python3 create-recommendation.py
• Created recommendation will get saved in database (dynamodb) and in csv file at 'output/recommendation.csv' (tbd)

• Run

npm install 
npm start

• run cp .env.sample .env and add the necessary values

• Run this endpoint in your browser, localhost:8080/api/1/movie=<movie-name-of-your-choice>