Low cost access for this paper is here: http://www.deepdyve.com/lp/association-for-computing-machinery/regression-based-latent-factor-models-1ebJXMCs0K
(shameless plug. I used to work at Deepdvye and am still an advisor) On Tue, Feb 1, 2011 at 12:27 PM, Dmitriy Lyubimov <[email protected]> wrote: > There's also a paper from Yahoo! research "Regression-based Latent Factor > Models" http://portal.acm.org/citation.cfm?id=1557029 > > What i like about this is that it doesn't focus on a particular method to > combine the models to regress on static profile data + side info. I think > it > might be combined with methods ALS-WS which unlke SGD are > hadoop-parallelizable to do stage computations. It also serves pretty good > in situations when there are dyadic interactions but different types > interaction context (side info) are available (or sometimes none at all) > but > static profile information is always available. I think we'll have to get > on > this problem pretty soon . > > > On Tue, Feb 1, 2011 at 8:24 AM, Ted Dunning <[email protected]> wrote: > > > And the Mahout-525 github branch of mahout that I started has an > apparently > > working version for this algorithm. > > > > I would love to support anyone who wants to do last mile work on that > > stuff. > > > > See https://issues.apache.org/jira/browse/MAHOUT-525 for more info > > > > On Tue, Feb 1, 2011 at 1:52 AM, Sean Owen <[email protected]> wrote: > > > > > That Elkan / Menon paper has an elegant theoretical formulation of a > > > recommender that uses both ratings and side info at the same time. > > > > > >
