Movie_Recommendartion

In this repo we implement a demo for movie recommendation.
We're working on getting the majority of those systems here and it will be a good resource for study purposes.
Feel free to fork the repository and make it for any other product recommendation needs

Demo

here is the https://movie-recommendation.streamlit.app

Running locally

use conda env(recommended)

• using environment.yml

conda env create -f environment.yml
conda activate movie_recommendation_env
streamlit run movie_recommender.py

• using requirements.txt

conda create --name env_name python==3.8
conda activate env_name
conda install --file requirements.txt
streamlit run movie_recommender.py

Resources

Blogs

1. https://towardsdatascience.com/introduction-to-recommender-systems-6c66cf15ada
2. https://pub.towardsai.net/recommendation-system-in-depth-tutorial-with-python-for-netflix-using-collaborative-filtering-533ff8a0e444
3. https://medium.com/quantyca/deep-learning-for-collaborative-filtering-using-fastai-b28e197ccd59
4. https://medium.com/the-owl/recommender-systems-f62ad843f70c
5. https://towardsdatascience.com/collaborative-filtering-and-embeddings-part-1-63b00b9739ce
6. https://towardsdatascience.com/various-implementations-of-collaborative-filtering-100385c6dfe0
7. https://medium.com/hackernoon/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75
8. https://towardsdatascience.com/introduction-to-recommender-system-part-2-adoption-of-neural-network-831972c4cbf7
9. https://towardsdatascience.com/various-implementations-of-collaborative-filtering-100385c6dfe0

Notebooks

1. https://www.kaggle.com/ibtesama/getting-started-with-a-movie-recommendation-system
2. https://www.kaggle.com/laowingkin/netflix-movie-recommendation
3. https://www.kaggle.com/rounakbanik/movie-recommender-systems
4. https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial

Data

1. https://grouplens.org/datasets/movielens/
2. https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv

Streamlit

1. https://github.com/gouravdidwania/Movie-Recommendation-System
2. https://github.com/pr-atha-m/Movie_recommendation_system
3. https://github.com/Explore-AI/unsupervised-predict-streamlit-template
4. https://github.com/Chandru-21/End-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes