"Just to clarify a little bit, the CF part of Mahout is intended for real time, while the other parts (clustering, classification) are batch."
Sorry to just bump in the discussion. I've started with Taste a few months ago to use in my MD project. I've found mahout and I'm still studying hadoop first. My question is: So the item recommender inside mahout runs on a single node? Or does it uses the map-reduce features from hadoop? Sorry for the dumb question. Regards On Tue, Mar 31, 2009 at 1:32 PM, Tim Bass <[email protected]> wrote: > Most prior-work in news related classification has been done with > Bayesian classifiers / networks. > > I kindly suggest that if you are interested in processing RSS, you use > Bayesian classifiers as your core. > > > > On Tue, Mar 31, 2009 at 10:39 PM, Jason Rennie <[email protected]> wrote: > > Sorry for my misunderstanding. Thanks for the clarification! > > > > Jason > > > > On Tue, Mar 31, 2009 at 10:22 AM, Grant Ingersoll <[email protected] > >wrote: > > > >> > >> On Mar 31, 2009, at 9:47 AM, Jason Rennie wrote: > >> > >> > >>> Note that if you want the system to exhibit real-time feedback, Mahout > may > >>> not be what you want since it is intended for batch-processing, IIUC. > >>> > >>> > >> Just to clarify a little bit, the CF part of Mahout is intended for real > >> time, while the other parts (clustering, classification) are batch. > >> > > > > > > > > -- > > Jason Rennie > > Research Scientist, ITA Software > > http://www.itasoftware.com/ > > > -- The intuitive mind is a sacred gift and the rational mind is a faithful servant. We have created a society that honors the servant and has forgotten the gift.
