You could always construct a new MatrixFactorizationModel with your filtered set of user features and product features. I believe its just a stateless wrapper around the actual rdds.
Regards Sab On Wed, Feb 3, 2016 at 5:28 AM, Roberto Pagliari <roberto.pagli...@asos.com> wrote: > When using ALS, is it possible to use recommendProductsForUser for a > subset of users? > > Currently, productFeatures and userFeatures are val. Is there a > workaround for it? Using recommendForUser repeatedly would not work in my > case, since it would be too slow with many users. > > > Thank you, > > -- Architect - Big Data Ph: +91 99805 99458 Manthan Systems | *Company of the year - Analytics (2014 Frost and Sullivan India ICT)* +++
