I want to get the predicted rating predicted rating for users that I specify for specific items (which will vary from user to user)
E.g. User1 : I want to get predicted rating for Item_67 user1: i Want to get predicted rating for Item_23 user1: i Want to get predicted rating for Item_456 user2: i Want to get predicted rating for Item_12 user97: i Want to get predicted rating for Item_34 user97: i Want to get predicted rating for Item_11 user97: i Want to get predicted rating for Item_ 45 I want to specify user and some items corresponding to that user. Then I want to get a predicted rating for those items for that user. This is not possible using the fully distributed algorithm in mahout.My question was: can i use the pseudo distributed algo to do this? is there some built in function like Recommender.estimatePreference? On Tue, Nov 15, 2011 at 4:42 PM, Sean Owen <[email protected]> wrote: > Use what, your data? surely. You can run many instances of a > non-disributed algorithms on Hadoop this way. It does not really lose > performance. But you don't have to code anything either way. And > unless you need to move to Hadoop at all, don't. I'm not sure what > you're asking. > > On Tue, Nov 15, 2011 at 3:53 AM, Akshay Jain <[email protected]> wrote: > > Is there any way I can use this through the Pseudo-distributed algo? I > dont > > mind loosing some performance if I dont have to code the entire thing > > (which I do not know how to) > > > > On Wed, Nov 9, 2011 at 4:36 PM, Akshay Jain <[email protected]> wrote: > > > >> @Sean, I am just testing with a small dataset. I have some large > datasets > >> which I am planning to use on Hadoop. > >> > >> Thanks. > >> > >> Akshay >
