Manuel, If you can blind your data sufficiently to release it publicly, it would make it much easier to get others to help with this.
On Tue, Nov 29, 2011 at 3:21 AM, Manuel Blechschmidt < manuel.blechschm...@gmx.de> wrote: > Hello Anatoliy, > > On 29.11.2011, at 10:32, Anatoliy Kats wrote: > > > Hi, > > > > There was a conversation some time ago about incorporating time > dependency for preferences: > http://thread.gmane.org/gmane.comp.apache.mahout.user/2951 > > > > Has there been any more discussion about this? Has anything been > checked into Mahout? Is anyone working on it? I might be able to pitch in. > > > I am currently working with a data set which has highly seasonal data. > Actually it is the sales data of a merchant selling tea and spices. > > I benchmarked the different recommenders against it: > http://thread.gmane.org/gmane.comp.apache.mahout.user/10433 > > As far as I know there are currently no recommenders that incorporate time > or seasons. The DataModel supports it but it isn't used. > > I would guess that identifying seasonal patterns could enhance my > recommendations a lot. > > I scanned the following paper: > Improving E-Commerce Recommender Systems by the Identification of Seasonal > Products > http://www.aaai.org/Papers/Workshops/2007/WS-07-08/WS07-08-011.pdf > > Actually I think that what the paper is doing is not that advanced. > > I currently try to identify seasonal products with R. I am playing around > with seasonal ARIMA models (http://www.duke.edu/~rnau/seasarim.htm > http://cran.r-project.org/web/packages/forecast/forecast.pdf). If I have > a working solution with R I might implement it in Mahout. > > What is your use case? Do you already have a data set? > > > > > Thanks, > > > > Anatoliy > > /Manuel > > -- > Manuel Blechschmidt > Dortustr. 57 > 14467 Potsdam > Mobil: 0173/6322621 > Twitter: http://twitter.com/Manuel_B > >
