There is no inherent mathematical difference, but there may be some pretty
significant practical differences.
Using the three matrix form (X = USV') puts the normalization constants
into a place where you can control them a bit easier. This can be useful
if you want *both* user and item vectors
Hi All,
Are there any (dis)advantages of using tri-factorization (||X - USV'||) as
opposed to bi-factorization ((||X - UV'||)) for recommender systems? I have
been reading a lot about tri-factorization and how they can be seen as
co-clustering of rows and columns and was wondering if such as
