Algorithms :: Single Value Decomposition
Dimensionality Reduction and the Singular Value Decomposition Dimensionality Reduction One common way to represent datasets is as vectors in a feature space. For example, if we let each dimension be a movie, then we can represent users as points. Though we cannot visualize this in more than three dimensions, the idea works for any number of dimensions. One natural question to ask in this setting i
SVD Recommendation System in Ruby - igvita.com
By Ilya Grigorik on January 15, 2007 One day, a bunch of friends, who happened to be big Family Guy fans, decided to put together a site to rank and share their thoughts on the show. Soon thereafter they had a Rails site up and running, and all was well, and other fans joined in hordes. A web 2.0 success! Then one day they realized that they could no longer track everyone's ratings, their user-bas
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