I'm finally looking to make my crude understanding of SVD-based recommenders more like "vague". I understand the SVD and the principle here but haven't implemented it.
I'm looking at what I believe is the original paper on it by Sarwar et al: www.grouplens.org/papers/pdf/sarwar_SVD.pdf It's good stuff and I understood it once, but now that I dig into details since I want to implement, I can't figure out how to read the algorithm in a way that works out. I think there are some notation problems, mostly in the incremental stage. Is anyone out there familiar enough with this to a) discuss this paper with me or b) point me to another writeup on the approach?
