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
