Is it easy to perform collaborative filtering with scikit's "Restricted
Boltzmann Machines" (RBM)?
Assume given are user ratings of 3 movies and for the fourth movie the
rating is missing. Clearly, using RBMs the reconstruction values
constitute the missing data. But, I'm not sure how the RBM knows which
movie ratings are missing. An approach includes assigning arbitrary
missing values during initialization; although this might not be
effective as inference would depend on the initial values.
Thanks!
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