Hi Pat, Do you know if there is any tutorial for the Scala recommender code? Mahout's site keeps pointing here: http://mahout.apache.org/users/recommender/userbased-5-minutes.html
Thanks. On Sat, Jan 17, 2015 at 4:24 PM, Pat Ferrel <p...@occamsmachete.com> wrote: > The newest recommender code runs on the new Scala R-like DSL. It is > cooccurrence based and supports only LLR. LLR is used to downsample > cooccurrences comparing all pairs of items. I’ve done fairly careful > offline testing of all the similarity methods of Mahout’s hadoop and > in-memory recommenders and LLR was a clear winner. > > However if you have something new you want to try, look at the Scala > SimilarityAnalysis class. For runtime efficiency it first calculates > cooccurrences by performing [AA’] then calculating LLR on elements by row > and downsampling in one step. You could look at some other similarity > method for downsampling there. > > On Jan 16, 2015, at 12:44 AM, ARROYO MANCEBO David < > david.arr...@altran.com> wrote: > > Any idea, Ted? :) > > -----Mensaje original----- > De: Ted Dunning [mailto:ted.dunn...@gmail.com] > Enviado el: jueves, 15 de enero de 2015 20:05 > Para: user@mahout.apache.org > Asunto: Re: Own recommender > > The old Taste code is not the state of the art. User-based recommenders > built on that will be slow. > > > > On Thu, Jan 15, 2015 at 7:10 AM, Juanjo Ramos <jjar...@gmail.com> wrote: > > > Hi David, > > You implement your custom algorithm and create your own class that > > implements the UserSimilarity interface. > > > > When you then instantiate your User-Based recommender, just pass your > > custom class for the UserSimilarity parameter. > > > > Best. > > > > On Thu, Jan 15, 2015 at 1:11 PM, ARROYO MANCEBO David < > > david.arr...@altran.com> wrote: > > > >> Hi folks, > >> How I can start to build my own recommender system in apache mahout > >> with my personal algorithm? I need a custom UserSimilarity. Maybe a > >> subclass from UserSimilarity like PearsonCorrelationSimilarity? > >> > >> Thanks > >> Regards :) > >> > > > >
