Have you considered adding models based on autoencoders? They look pretty interesting: https://arxiv.org/abs/1901.00415
Thanks for the suggestion Luis. We are in fact going to add this one https://github.com/miguelgfierro/sciblog_support/blob/master/Intro_to_Recommendation_Systems/Intro_Recommender.ipynb
Awesome :)
this implementation also looks interesting: https://paperswithcode.com/paper/hybrid-recommender-system-based-on-autoe2
TODO:
compare results with old code movielens results:https://github.com/NVIDIA/DeepRecommender/issues/11
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Thanks for the suggestion Luis. We are in fact going to add this one https://github.com/miguelgfierro/sciblog_support/blob/master/Intro_to_Recommendation_Systems/Intro_Recommender.ipynb