On Sun, May 19, 2013 at 8:04 PM, Pat Ferrel <p...@occamsmachete.com> wrote:
> Two basic solutions to this are: factorize (reduces 100s of thousands of > items to hundreds of 'features') and continue to calculate recs at runtime, > which you have to do with Myrrix since mahout does not have an in-memory > ALS impl, or move to the mahout hadoop recommenders and pre-calculate recs. > Or sparsify the cooccurrence matrix and run recommendations out of a search engine. This will scale to thousands or tens of thousands of recommendations per second against 10's of millions of items. The number of users doesn't matter.
