https://github.com/mayankagg9722/movie-recommendation

Collaborative Filtering is performed over Movie Lens Dataset.
https://github.com/mayankagg9722/movie-recommendation

collaborative-filtering data-analysis jupyter-notebook movie-recommendation python-script website

Last synced: 7 days ago
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Collaborative Filtering is performed over Movie Lens Dataset.

• Host: GitHub
• URL: https://github.com/mayankagg9722/movie-recommendation
• Owner: mayankagg9722
• Created: 2017-11-17T15:46:09.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-11-23T16:14:06.000Z (about 7 years ago)
• Last Synced: 2024-12-01T18:29:40.258Z (2 months ago)
• Topics: collaborative-filtering, data-analysis, jupyter-notebook, movie-recommendation, python-script, website
• Language: HTML
• Homepage:
• Size: 5.48 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Movie-Recommendation

Collaborative Filtering is performed over Movie Lens Dataset. In this corelation is used between different movies to find and group the top 5 movies.

  - MovieLens

GroupLens Research has collected and made available rating data sets from the MovieLens web site (http://movielens.org). The data sets were collected over various periods of time, depending on the size of the set. Before using these data sets, please review their README files for the usage licenses and other details.

  

# Python Script

All the data analysis is done in script.py file. Python script is used along with NodeJS for analysis using child processing.

# NodeJs

Website and backend build on NodeJs. For running all the script you just need NodeJS and required file mentioned in package.json.

After Installing the reuired packages run npm start.

**Yeah! You are ready to acces it on your browser on localhost.**

### Installation

It requires [Node.js](https://nodejs.org/) v4+ to run and python on your system.

* [Node.js] - evented I/O for the backend

* [Express] - fast node.js network app framework

* [Python] - For data analysis and libraries like numpy etc.