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From mostafa ahmed <mostafa.ramad...@gmail.com>
Subject Re: RecommenderJob and GenericUserBasedRecommender
Date Mon, 24 Aug 2015 07:18:46 GMT
thak you Pat. I did not know that.


On Friday, August 21, 2015, Pat Ferrel <pat@occamsmachete.com> wrote:
> The hadoop recommenders are not the really state of the art anymore.
>
> We are recommending one based on the SimilarityAnalysis.cooccurrence
methods and the spark-itemsimilarity driver if you wish. These in
combination with a search engine produce an incredibly flexible recommender
that ingests lots more data about the user and so can recommend in cases
the old ones or even the new Spark ALS recommender can’t help with.
>
> There is an OSS version here:
https://github.com/PredictionIO/template-scala-parallel-universal-recommendation
> It works as a template or plugin to the prediction.io framework, which
has all the event ingest/storage/train/serving built in. Check it out.
>
> On Aug 20, 2015, at 12:30 PM, Mike C <mike@siteswithbenefits.com> wrote:
>
> Hi!
>
> I've made a custom User Recommender using the Mahout API, using
> GenericUserBasedRecommender.
>
> I'm not quite sure how to take the next step to get it working across
> Hadoop.  RecommenderJob appears to be for Item Recommenders and it's not
> really clear how to adapt it for a custom Recommender.
>
> Anyone have any pointers to how this can be done in my case?
>
> Thanks.
>
> Mike
>
>

-- 
Best Regards,

Mostafa Ramadan

Software Developer
(02) 01097719290
Personal web Site : http://sites.google.com/site/mostafaofficialwebsite
mail:mostafa.ramadan7@gmail.com
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