Hi Nadia, This should be the case if you fix the seed for the random number generator. What do you mean by the "results differed"? How did you choose the single item that you looked at? How did you choose the number of iterations?
Best, Sebastian On 23.03.2013 13:10, Nadia A Najjar wrote: > Hi, > to rephrase my question: > Does the SVD++ factorization produce the same prediction value for a given > item every time the SVD recommender is run? > > I'd appreciate any insight on this! > > Thanks! > > >> From: [email protected] >> To: [email protected] >> Subject: RE: Persistent SVD predictions >> Date: Wed, 20 Mar 2013 01:32:35 -0400 >> >> Hi,This is when comparing a single prediction for an item. I seeded the >> initial model training. That was the only place I found where a random >> number was used. >> >>> Date: Tue, 19 Mar 2013 19:34:16 +0100 >>> From: [email protected] >>> To: [email protected] >>> Subject: Re: Persistent SVD predictions >>> >>> Hi Nadia, >>> >>> how did you try to seed the factorization? How do you measure your result? >>> >>> >>> On 19.03.2013 19:04, Nadia A Najjar wrote: >>>> Is there a way to get the same preference prediction result for an item >>>> using SVD recommender with SVD++ factorization?I tried seeding the >>>> factorization but the results still differed! >>>> Thanks! >>>> >>> >> > >
