Ya ted, i am new in the mahout world,having java knowledge with hadoop ,mahout basics.. Whatever i know about my system and what i wan to develop is discribed below..
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-mahout supported database..so at time of requirement all recommendatin fetched at page ... So for this implementation whats are the steps to be followed? Can you suggest me??? Thanks in advance... -----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?
