This new article by Grant Ingersoll is really good to get started in my opinion.
http://www.ibm.com/developerworks/java/library/j-mahout-scaling/index.html?ca=drs- Pascal 2011/11/10 VIGNESH PRAJAPATI <[email protected]> > Ya ted, > i am new in the mahout world,having java knowledge with hadoop ,mahout > basics.. > i indeed want to develop recommender system with kmeans clustering > algorithm. > So it take little time for generating recommendation of items for > millions of users based on their past activity like users rating on > the perticular products and total number of product's page visit by > users.so,i have three input > 1.userid > 2.productid > 3.rate or number of visits by userid provided at first no. > > And based on this will provide numbers of item or best item > appropriate to user as recommeendation.and after all this information > is stored in hadoop > > -----Original message----- > From: Ted Dunning > Sent: 10/11/2011, 7:09 pm > To: [email protected] > Cc: user > Subject: Re: Help needed for Recommendation engine > > > Hive is not a database. > > You should test different algorithms. If you want suggestions you > should say a lot more about what you are doing. > > Sent from my iPhone > > On Nov 10, 2011, at 5:39, VIGNESH PRAJAPATI <[email protected]> wrote: > > > So how to start for it which mahout algorithm is sutable for this? >
