Paper and presentation are very interesting to me as well. I am fairly new to this, and coming to terms with some of the terms, etc. I assume that "action matrix" here is just the raw matrix of how each user has "interacted with" the items/types-of-items. I didn't quite get the incorporation into SOLR (not familiar with that much, either), in particular the "indexing" related to the generated (root LLR-based?) co-occurence matrices for the different types of things so that it can be used in searches - so, a real newbie question: how can the co-occurence matrix be implemented as a search index in SOLR? Just point me at the RTFM docs is fine :)
On Sun, Jul 21, 2013 at 5:17 PM, Pat Ferrel <pat.fer...@gmail.com> wrote: > Read the paper, and the preso. > > As to the 'offline to Solr' part. It sounds like you are suggesting an > item item similarity matrix be stored and indexed in Solr. One would have > to create the action matrix from user profile data (preference history), do > a rowsimiarity job on it (using LLR similarity) and move the result to > Solr. The first part of this is nearly identical to the current recommender > job workflow and could pretty easily be created from it I think. The new > part is taking the DistributedRowMatrix and storing it in a particular way > in Solr, right? > > BTW Is there some reason not to use an existing real data set? > > On Jul 19, 2013, at 3:45 PM, Ted Dunning <ted.dunn...@gmail.com> wrote: > > OK. I think the crux here is the off-line to Solr part so let's see who > else pops up. > > Having a solr maven could be very helpful. > > > -- BF Lyon http://www.nowherenearithaca.com
