Netflix SVD Derivation
Adam Wagman provided this nice elaboration in the Netflix Prize forums of the derivation of my incremental SVD method: Here's a basic derivation. Let R[i][j] be the known rating by user i for an item j, and let p[i][j] be the predicted rating for that user and item. We'll let k represent the index of the singular vectors [0, N). Let u[k][i] be the element of the kth singular user vector for the it
Netflix Update: Try This at Home
[Followup to this] Ok, so here's where I tell all about how I (now we) got to be tied for third place on the netflix prize. And I don't mean a sordid tale of computing in the jungle, but rather the actual math and methods. So yes, after reading this post, you too should be able to rank in the top ten or so. Ur... yesterday's top ten anyway. My first disclaimer is that our last submission which tie
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