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Suggest movies by calculating a match score based on the weight of user-selected criteria. Criteria include Metacritic score, IMDB rating, and importance of director, lead star, and supporting stars. Results are displayed in sortable table.

Home Page: http://amovierecommender.azurewebsites.net/

JavaScript 97.09% HTML 1.84% CSS 1.07%

movierecommender's Introduction

AMovie Recommender

Suggest movies by calculating a match score based on the weight of user-selected criteria. Criteria include Metacritic score, IMDB rating, and importance of director, lead star, and supporting stars. Results are displayed in sortable table.

site function gif

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

(Version numbers were at time of deployment in 2018)
For runtime environment:

  • nodejs: v8.10.0
  • npm v5.6.0

Dependencies:

  • body-parser: 1.18.3
  • express: 4.16.3
  • jquery: 3.3.1
  • sqlite3: 4.0.2

Installing

1. Clone this repo at https://github.com/YFLooi/movieRecommender.git
2. Install all dependencies using 'npm install'
3. Start this project using 'npm start'. The message 'Server stated at http://localhost:3000/' should appear in the console
4. Open a browser, navigate to http://localhost:3000/

Deployment

SQLite has limited web hosting options. Microsoft Azure is the most accessible of them. Follow this guide by sanathjs: https://www.codeproject.com/Articles/1133660/Deploy-Node-js-in-Microsoft-Azure

Authors

Looi Yih Foo (https://github.com/YFLooi/)

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Contributors

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Watchers

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