Slope-one? This implementation has nothing to do with Hadoop or Hive. What are you doing, exactly?
Generating 51,970 user recommendations in 18 minutes isn't bad. That's 20ms per user, though still sounds a bit slow for this data set size. I don't know what "normalizing" means here. Something sounds wrong with your input if you get all the same results. On Tue, Oct 18, 2011 at 10:40 PM, VIGNESH PRAJAPATI <[email protected]> wrote: > Hello, mahot users. > > I am vignesh prajapati from india want to develop recommendation engine with > hadoop , mahout and hive. > But after using > http://code.google.com/p/unresyst/wiki/CreateMahoutRecommender information i > have generated recommendations via slopbased algorithm.And for generating > recommendations it is taking a 18 minutes and generating same > recommendations for all of users among 51,970 users and 14,000 items. > Ans after if i am normalizing all of data in csv files then its taking 4.5 > seconds with no recommendations. so is there any solution and suggestion for > this ? > > Thanks in advance.. > > -- > > *Vignesh Prajapati* **** > Tel: 9427415949 | > [email protected] | www.makeyour.tk > MYTK [image: Facebook] <https://www.facebook.com/vigs143> [image: > Twitter]<http://twitter.com/#%21/vigs143> [image: > LinkedIn] <http://www.linkedin.com/pub/vignesh-prajapati/37/756/46a> [image: > about.me] > <http://www.makeyour.tk/><http://r1.wisestamp.com/r/landing?promo=7&dest=http%3A%2F%2Fwww.wisestamp.com%2Femail-install%3Futm_source%3Dextension%26utm_medium%3Demail%26utm_campaign%3Dpromo_7> >
