Movie Recommendation System

NUS CS5228 Course Project

Data source:

SNAP

Download

Get the project source code

$ git clone https://github.com/ZillDing/MRS5228

Usage

• Put the raw data file movies.txt in the dir data

• Run parse_to_csv.py to parse the original txt data to csv format

  $ python parse_to_csv.py

• Run prepare_data_sets.py to split the csv file to multiple training & testing data sets

  $ python prepare_data_sets.py

• Run item-item.py or user-user.py to run the recommender and obtain error result. The result is both displayed on the console and written to log file.

  $ python item-item.py or $ python user-user.py

Test Web App

• Run generate_web_data.py to generate data for the web app

  $ python generate_web_data.py

• Install dependancies (with node installed)

  $ cd web-app && npm install

• Start the web app

  $ npm start

• Open browser and point to http://localhost:3000