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From Matt Mitchell <goodie...@gmail.com>
Subject Re: Estimating preferences with Distributed Item Based Recommender
Date Fri, 05 Oct 2012 14:27:12 GMT
Thanks for this Charly. Code would be great if you don't mind. Much appreciated!

- Matt

On Fri, Oct 5, 2012 at 10:05 AM, Charly Lizarralde
<charly.lizarralde@gmail.com> wrote:
> Of course.
>
> I used the DataSetSplitter for spliting the datasets into training & probe.
>
> I created a job very similar to the aggregateAndRecommender step of the
> RecommenderJob. I copied and modified the
> AggregateAndRecommendReducer.class to be EstimatePreferenceReducer.class
> that loads in the setup the probe dataset.
>
> If you want I can send you the code...but it's not very clean.
>
> On Fri, Oct 5, 2012 at 10:42 AM, Matt Mitchell <goodieboy@gmail.com> wrote:
>
>> Hi Charly. Would you mind showing, or at least describing how you did this?
>>
>> Thanks,
>> Matt
>>
>> On Fri, Oct 5, 2012 at 9:21 AM, Charly Lizarralde
>> <charly.lizarralde@gmail.com> wrote:
>> > Finally I could manage to do that. It was not so difficult after all. I
>> > used that for calculating RMSE.
>> >
>> > Thanks!
>> > Charly
>> >
>> > On Wed, Oct 3, 2012 at 1:54 PM, Charly Lizarralde <
>> > charly.lizarralde@gmail.com> wrote:
>> >
>> >> Thanks! I think I'll manage.
>> >>
>> >> On Wed, Oct 3, 2012 at 11:47 AM, Sean Owen <srowen@gmail.com> wrote:
>> >>
>> >>> Yes... you'd have to modify it a little though. The stage right before
>> >>> recommendation in the pipeline computes all the estimates, on which
>> >>> the results are ranked. You would just change this to output these
>> >>> all, or, just the ones you want. There's nothing out of the box that
>> >>> does this.
>> >>>
>> >>> On Wed, Oct 3, 2012 at 2:53 PM, Charly Lizarralde
>> >>> <charly.lizarralde@gmail.com> wrote:
>> >>> > Is it possible to use RecommenderJob (Map Reduce/Item Based ) to
>> >>> estimate
>> >>> > preferences por specific <user,item> dataset ?
>> >>> >
>> >>> > Thanks!
>> >>> > Charly
>> >>>
>> >>
>> >>
>>

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