content-based-recommendation-system

Project Title

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

Prerequisites

1. Python 3+
2. Jupyter

pip3 install --upgrade pip

pip3 install jupyter

3. scikit-learn

pip3 install scikit-learn

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

Important

If you dont see the Jupyter notebook rendering in github. Don't worry, It seems be a github issue. You can clone the repo to local and you will have it.

git clone https://github.com/gkverma/content-based-recommendation-system.git

cd content-based-recommendation-system

# Start working on the project

Alternatively,

1. Go to https://nbviewer.jupyter.org/
2. Paste the URL : https://github.com/gkverma/content-based-recommendation-system/blob/master/Content%20Based%20Recommender%20System.ipynb
3. Go !