This repo deals on HMF, which mainly would be used as a Recommendation System.
I have used the standard movielens-100k dataset which is also availabe here.
Requirements:
Scitkit Surprise is a library specifically designed to build recommender systems.Although not really recovered for this implemenation, it can be used to compare performance measures.
Use pip install scikit-surprise to download.
More on surprise here
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KKamaleshKumar/Hybrid-Matrix-Factorisation
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HMF for Recommendation Systems
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