With less of a tongue in cheek, I think that the key is to determine what impact the changes really will have. For instance, it has been shown that better dense matrices can make a noticeable difference to ALS, but they make essentially no difference to the cooccurrence based recommenders. Better dense operations can make a few parts of the large-scale random-projection code but the difference is swamped by the cost of the large scale computations. That might change with Spark, however.
On Wed, Aug 13, 2014 at 10:18 PM, Ted Dunning <[email protected]> wrote: > > On Wed, Aug 13, 2014 at 9:32 PM, Anand Avati <[email protected]> wrote: > >> Is there a roadmap (or collection of thoughts which approximate a road >> map), so that there is some sort of a guideline as to what lines of >> investigation for contributions makes sense? >> > > My rule of thumb that anything that makes a difference to a significant > user population is a good thing. Especially if that population includes > significant developers! >
