https://github.com/javascript-machine-learning/movielens-recommender-system-javascript
🍃 Recommender System in JavaScript for the MovieLens Database
https://github.com/javascript-machine-learning/movielens-recommender-system-javascript
javascript movie-database movie-recommendation movielens recommendation-system recommender-system recommender-systems similarity-matrix
Last synced: about 1 month ago
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🍃 Recommender System in JavaScript for the MovieLens Database
- Host: GitHub
- URL: https://github.com/javascript-machine-learning/movielens-recommender-system-javascript
- Owner: javascript-machine-learning
- Created: 2017-12-20T15:27:43.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-05-12T00:30:21.000Z (about 4 years ago)
- Last Synced: 2024-11-19T22:43:28.750Z (7 months ago)
- Topics: javascript, movie-database, movie-recommendation, movielens, recommendation-system, recommender-system, recommender-systems, similarity-matrix
- Language: JavaScript
- Homepage: https://bri.im
- Size: 13.9 MB
- Stars: 158
- Watchers: 11
- Forks: 35
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
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README
# Recommendation System in JavaScript with MovieLens Database
[](https://travis-ci.org/javascript-machine-learning/movielens-recommender-system-javascript)
A recommender system in JavaScript built with NodeJs. It uses the popular [MovieLens](https://www.kaggle.com/rounakbanik/the-movies-dataset/data) database which includes information about movies and ratings of users. The recommender system implements the following recommendation strategies:
* linear regression with gradient descent learning
* content based recommendation
* collaborative filtering (CF) recommendation
* item based CF
* user based CF
## Installation
* `git clone [email protected]:javascript-machine-learning/movielens-recommender-system-javascript.git`
* `cd movielens-recommender-system-javascript`
* `npm install`
* `npm start`
Copyright 2019 rwieruch
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.