There is also the stochastic projection code. Search for ssvd in the mailing list archives.
Sent from my iPhone On Apr 4, 2012, at 8:36 AM, Sebastian Schelter <[email protected]> wrote: > There is a distributed recommender that uses matrix factorization via > Alternating Least Squares. Due to Hadoop's inefficiency in executing > iterative algorithms, its very slow unfortunately. > > The examples module contains code to run this recommender on the movielens > and netflix datasets. > > --sebastian > Am 04.04.2012 16:56 schrieb "Stemmer, Maya" <[email protected]>: > >> Hi, >> >> "Mahout in Action" refers to the 0.5 release of Mahout. >> I'm using the 0.6 release, and I wanted to know where I can find a more >> up-to-date documentation of the available implementations. >> For example, the book mentions that the current implementation of the SVD >> recommender computes the SVD in memory. >> Is there a newer implementation - one that can be distributed? >> >> Thanks, >> Maya >> >> --------------------------------------------------------------------- >> Intel Electronics Ltd. >> >> This e-mail and any attachments may contain confidential material for >> the sole use of the intended recipient(s). Any review or distribution >> by others is strictly prohibited. If you are not the intended >> recipient, please contact the sender and delete all copies. >>
