Jordi Abad 2010-11-26, 18:26
Sean Owen 2010-11-26, 18:32
Sebastian Schelter 2010-11-26, 18:33
Sean Owen 2010-11-26, 18:35
-Re: RecommenderJob in mahout-0.4 returning 1.0 score for each recommendation
Sebastian Schelter 2010-11-26, 18:45
the prediction computation for boolean data is done in
It computes *all* possible items to recommend for the current user and
writes out only the n first after that, with n being the number
specified in the parameter --numRecommendations given to RecommenderJob.
Can you point me to the code where the non-distributed code handles the
problem of ranking them? We could certainly emulate that behaviour in
the distributed code too.
Am 26.11.2010 19:35, schrieb Sean Owen:
> But is it then ranking the recommendations by the estimated pref? If
> it's always 1, then the ordering is not meaningful.
> Maybe it is, I just haven't looked at your changes in much detail
> since you made them although it looked broadly correct and proper.
> On Fri, Nov 26, 2010 at 6:33 PM, Sebastian Schelter <[EMAIL PROTECTED]> wrote:
>> If all ratings have value 1 (cause we use boolean data) the result of
>> the Predicition can also only be 1.
Sean Owen 2010-11-26, 18:50
Jordi Abad 2010-11-28, 10:28
Sebastian Schelter 2010-11-28, 10:37
Jordi Abad 2010-11-28, 19:03