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A recommendation engine is a data filtering tool that uses algorithms to propose the most relevant products to a certain user or client. It works on the basis of detecting patterns in consumer behavior data, which may be acquired either implicitly or explicitly.

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Movies Recommendation Engine

A recommendation engine is a data filtering tool that uses algorithms to propose the most relevant products to a certain user or client. It works on the basis of detecting patterns in consumer behavior data, which may be acquired either implicitly or explicitly.


Technologies Used

Web Technologies

Html , Css , JavaScript , Bootstrap , Django

Machine Learning Library In Python3

Numpy , Pandas , Scipy

Database

SQLite

Code built using

Jupyter, Google colab, Visual Studio


Setup to run

Extract zip file in your computer

or

 git clone https://github.com/jheel05/Recommendation-Engine-Movies.git

Open terminal/cmd promt

Goto that Path

Example

cd ~/Desktop/Recommendation-Engine-Movies

Installation of Dependencies

pip install npm
pip install -r requirements.txt

Local Server Creation

To run

python finalapp.py runserver

Now open your browser and go to the IP address shown.

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A recommendation engine is a data filtering tool that uses algorithms to propose the most relevant products to a certain user or client. It works on the basis of detecting patterns in consumer behavior data, which may be acquired either implicitly or explicitly.

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