Hello fellow developers!
I come here to share with you a Python project that I wrote which turned into a software library. It falls into the field of incremental learning applied to collaborative filtering recommendations.
It is hosted at Github: https://github.com/Marko50/FEUP-DISS
I want to share this with you in case you wish to attempt to do some research on these types of algorithms and need to want to use a library that is able to mine data streams and perform recommendations and rating predictions.
It has 11 implemented algorithms that fall into 2 categories:
Model-based and Neighborhood-based.
It supports algorithms for both implicit and explicit feedback.
Thank you very much for your time.
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