Bayesian hierarchies, in short. On Wed, Dec 29, 2010 at 11:37 AM, Dmitriy Lyubimov <[email protected]>wrote:
> What i don't understand is why they locked themselves to log-linear model > there in that paper. > > There's a Yahoo research paper around where they generalize the case for > GLMs and do very similar thing. Except it doesn't have to be a log-linear > and actually could be a two-pass learning using whatever techniques in each > pass (as long as architecture allows to plug those models one into another). > > Intuitively i feel that the most promising approach is somethnig like > incremental SVD (with first 20 or so items being soft-limited by logit) and > perhaps using wieghted regularization learning side information parameters > subsequently in minibatches for online learning. > > but yeah i think this is a most common recommender problem and yes i think > Mahout lacks here. I was looking for a similar off-the-shelf solution for > this some time ago as well and eventually had to resort to half-baked > in-house solution as it wasn't much of a priority. > > Also i am still not quite sure what the best way to do input normalization > for both continuous and nominal inputs together with existing framework. > Last thing i heard was it is not working well together in existing SGD > solution. But that's one of the most common problem and actually not so hard > to solve. It's just one has to dig for a solution, i haven't found it in the > docs anywhere even if it exists in Mahout. But i am fairly sure Mahout > doesn't support hierarchical plugs at the moment at all. > > > On Wed, Dec 29, 2010 at 10:36 AM, Ted Dunning <[email protected]>wrote: > >> The latent factor log-linear work that I started, got to a barely working >> state and then was unable to continue would provide hybrid >> recommendations. >> >> This is the MAHOUT-525 >> <https://issues.apache.org/jira/browse/MAHOUT-525>work that Sebastien >> alluded to. >> >> On Wed, Dec 29, 2010 at 9:49 AM, Andy Parsons <[email protected]> >> wrote: >> >> > >> - What do you exactly mean by hybrid recommendations? Do you mean a >> > >> combination of content based and collaborative filtering techniques? >> > [ASP] Yes, precisely. >> > >
