Hello Kris, We have an example of how to use ALS to factorize the movielens dataset, which also includes generating recommendations from the factorization:
examples/bin/factorize-movielens-1M.sh We don't have automated code to find appropriate values for alpha and lambda unfortunately. There is code to evaluate the prediction accuracy of a particular parameterized factorization using a hold-out test, so this gives you a way to manually find appropriate parameters. Best, Sebastian On 17.10.2012 13:47, Kris Jack wrote: > Hi all, > > I'm giving one of the distributed matrix factorisation implementations > (code org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob) a > try and have a few basic questions. I can't find much documentation about > how to run it so can someone please point me in the right direction? > > I'd like to know: > 1) is there any code that helps selecting appropriate values for lambda and > alpha? > 2) is there any code that uses the output of the MF, generating recommended > items for users? > > Best, > Kris > > >
