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This repository contains the implementation of a movie recommendation system using autoencoder.

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Autoencoder

This repository contains the implementation of a movie recommendation system using autoencoder.

Dataset

Movie Lens Movie Recommendation from GroupLens Research Licence [1]

Requirements

Python

Install the required libraries through command line

pip3 intsall -r requirements.txt

Installation

Clone this repository: git clone https://github.com/manvimadan12/Autoencoder.git or click Download ZIP in right panel of repository and extract the code

Steps to run the notebook

  • Open Jupyter Notebook : Movie Recommendation.ipynb
  • Run each cell to see the code in action

References

  1. F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4, Article 19 (December 2015), 19 pages. DOI=http://dx.doi.org/10.1145/2827872

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This repository contains the implementation of a movie recommendation system using autoencoder.

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