I think they're tackling different problem -- Taste is only about collaborative filtering while weka is more about data mining, classification, etc. I don't think they overlap to any significant degree. But Weka does overlap with other parts of Mahout. I myself am probably not so qualified to compare the two, but maybe someone else can.
On Tue, Aug 26, 2008 at 10:44 PM, Satish Dandu <[EMAIL PROTECTED]> wrote: > Hi, > > Recently i started using Taste. It's easy to set up and it really > looks good in terms of picking recommendation (demo using Group lens > dataset for Netflix data). I also went through weka, now my question is > there any difference between WEKA and Taste (as both are open source > machine learning softwares). What advantages can we get by using Taste > (in addition to hadoop integration) > > > > Thanks > >
