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10 changes: 10 additions & 0 deletions README.md
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[![Build Status](https://travis-ci.org/javascript-machine-learning/movielens-recommender-system-javascript.svg?branch=master)](https://travis-ci.org/javascript-machine-learning/movielens-recommender-system-javascript)

**New Update**

- Added Regularized Linear Regression .

> Further reading : [Overfitting and Regularization](https://machinelearningmedium.com/2017/09/08/overfitting-and-regularization/)

- Added [YTS Movies](https://www.kaggle.com/miladnourizade/ytsyifytorrent-movies) which is collected from official YIFY torrent movies(yts.am).

> YTS movies dataset is available just for content based recommendation .

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
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