Hi Sean It seems in order to get the estimated pref values for compartion in a distributed environment, i have to complete run org.apache.mahout.cf.taste.hadoop.item.RecommenderJob, meanwhile, set a bigger value to "recommendationsPerUser" to make sure my test data can exist in the estimated top items. Do i miss something? Any idea? Thanks in advance. CheersRamon
> Date: Mon, 17 Oct 2011 09:29:28 +0100 > Subject: Re: Does Mahout provide a way to evaluate a distributed Recommender > running on Hadoop? > From: [email protected] > To: [email protected] > > Yes, but those are only estimates for top items. You may not see an > estimate for the items in your test set. > > Yes also look at Sebastian's suggestion. > > 2011/10/17 WangRamon <[email protected]>: > > > > Hi Sean Thanks for the quick reply. I'm running > > org.apache.mahout.cf.taste.hadoop.item.RecommenderJob on Hadoop, actually, > > i think the result of this job are the estimated prefs for each user, > > right? So for the evaluation, i plan to keep some real data, just as you > > said 5% of all, and then run computation on the other 95%, then the > > recommend result is something like these: User1 like: item2, item3, > > item4user2 like: item3, item4, item5 But the real data(the 5%) are:User1 > > like: item3, item4, item1User2 like: item5, item6, item7 Then i do a > > comparation for these two dataset, am i right? CheersRamon > > > Date: Mon, 17 Oct 201
