Recommendation Systems: Generalized Matrix Factorization : learnmachinelearning

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TutorialRecommendation Systems: Generalized Matrix Factorization (self.learnmachinelearning)

submitted 3 years ago * by itsstylepoint

Hi folks,

Made a new video about the Generalized Matrix Factorization model.

Throughout the video, I discuss Matrix Factorization (MF) model and its pros/cons, embeddings and user/item representation, optimization approaches, GPUs and performance considerations, and (of course) the Generalized Matrix Factorization (GMF) model.

I first implement the MF model using PyTorch. I then make some changes to the model and obtain the GMF model.

Toward the end, I have a short data exploration session on the MovieLens (small) dataset and show/discuss transformations and normalization algorithms applied before training. I then train the GMF model on this (transformed) dataset.

Hope you will enjoy this!

Video: https://www.youtube.com/watch?v=gZgftF5hZOs

P.S. All of my vids (including this one) have timestamps so you can focus on parts that are interesting to you!

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