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This repository covers approaches of recommendation systems

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prashantjadiya/Recommendation-engines

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Recommendation-engines

This repository contains all types of recommendation systems.

Files:

Collaborative filtering/collaborative filtering.ipynb -> contains code of collaborative filtering technique
Collaborative filtering/final recommendations.ipynb -> contains code of final scenario of recommendations
Collaborative filtering/SVD.ipynb -> illustrates SVD for matrix factorisation
Collaborative filtering/Funk SVD.ipynb -> contains code of FunkSVD

Most popular recommendation/most_popular_recommendations.ipynb -> contains code of rank based recommendations

Recommendation engines/movies_clean.csv -> dataset of movietweetings
Recommendation engines/recommender.py -> uses functions of recommender_functions.py to recommend
Recommendation engines/recommender_functions.py -> module of recommeder system
Recommendation engines/train_data.csv -> training data file