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From Corey Nolet <>
Subject Re: Using MatrixFactorizationModel as a feature extractor
Date Mon, 27 Nov 2017 20:13:27 GMT
I know that the algorithm itself is not able to extract features for a user
that it was not trained on, however, I'm trying to find a way to compare
users for similarity so that when I find a user that's really similar to
another user, I can just use the similar user's recommendations until the
other user gets worked into the model.

On Mon, Nov 27, 2017 at 3:08 PM, Corey Nolet <> wrote:

> I'm trying to use the MatrixFactorizationModel to, for instance, determine
> the latent factors of a user or item that were not used in the training
> data of the model. I'm not as concerned about the rating as I am with the
> latent factors for the user/item.
> Thanks!

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