Hello, I'm long time lurker. I would be interested in implementing these. I thought I would get my feet wet with contributing to wiki with tutorials since I have used Mahout for recommendation and clustering in my dissertation. I have never contributed code before and I would love to start now.
-Nkechi On Sun, Mar 31, 2013 at 1:14 PM, Robin Anil <robin.a...@gmail.com> wrote: > FMs work really well for a whole range of things. Having implemented them > myself, I can extend my services as a reviewer if anyone is willing to > start on it. > > Robin Anil | Software Engineer | +1 312 869 2602 | Google Inc. > > > On Sun, Mar 31, 2013 at 2:18 AM, Ted Dunning <ted.dunn...@gmail.com> > wrote: > > > Relative to Dan's recent mention of SOM as possible new project, here are > > slides from KDD Cup 2012 in which Stephen Rendle describes how he did > using > > a very straightforward implementation of Factorization Machines [1,2]. > > > > > > FMs are interesting in the context of Mahout because they can be used in > a > > wide variety of settings including recommendation and targeting and > because > > they have very good performance on a number of tasks. > > > > I should mention that Robin was the one who first mentioned FMs to me. > > > > The KDD 2012 competition [3] is of interest in any case because it > provides > > a large amount of realistic data for commercially important problems. > > > > [1] > > > > > https://kaggle2.blob.core.windows.net/competitions/kddcup2012/2748/media/RendleSlides.pdf > > > > [2] > > > > > https://kaggle2.blob.core.windows.net/competitions/kddcup2012/2748/media/Rendle.pdf > > > > [3] http://www.kddcup2012.org/ > > >
