Sorry, i've sent last post accidently. The question was not about which version of hadoop it uses. Let me explain, I think we all agree that item based recommendation is a 2 step process. 1-compute item-item similarities 2-create recommendations to a specific user for an item
And, 1st step can be computed offline. If we want to compute all item-item similarities, it would be very good if that computation had a map-reduce implementation. I remember we had a discussion about making this computation with a matrix based approach and its potential of being distributable. I think that will be a very good extension for taste. On Thu, Oct 15, 2009 at 9:12 PM, Gökhan Çapan <[email protected]> wrote: > I mean, > > On Thu, Oct 15, 2009 at 9:08 PM, Sean Owen <[email protected]> wrote: > >> Meaning using the 0.19 API? It did and I updated it but have hit the >> problem >> I mention. I am reluctant to move backwards if a fix is coming though I am >> increasingly concerned about this. >> >> On Oct 15, 2009 10:52 AM, "Gökhan Çapan" <[email protected]> wrote: >> >> I also want to ask something about topic. Does Taste have a mapred >> implementation? >> >> On Thu, Oct 15, 2009 at 8:38 PM, Sean Owen <[email protected]> wrote: > >> Yeah >> you see the same probl... >> -- >> Gökhan Çapan >> > > > > -- > Gökhan Çapan > -- Gökhan Çapan
