I am reading the Mining of Massive Datasets Book by Rajaraman and
Ullman. It has a good explanation of Recommendation System at Chapter
9.
But what are the relationship between
1) SVD (Singular Decomposition)
2) UV-Decomposition
3) NMF (Non-negative Matrix Factorization)
In particular, it seems 2) and 3) can be very similar. Is it right?
Thanks.
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