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From Danny Bickson <danny.bick...@gmail.com>
Subject Re: Ensemble recommender?
Date Wed, 14 Sep 2011 09:00:18 GMT
In terms of papers about ensemble methods/blending I suggest looking at the
BigChaos Netflix paper:
http://www.*netflixprize*.com/assets/*GrandPrize2009*_BPC_*BigChaos*.pdf
See section 7.

Best,

Danny Bickson

On Wed, Sep 14, 2011 at 11:41 AM, Sean Owen <srowen@gmail.com> wrote:

> There isn't. For the recommenders that work by computing an estimated
> preference value for items, I suppose you could average their
> estimates and rank by that.
>
> More crudely, you could stitch together the recommendations of
> recommender 1 and 2 by taking the top 10 amongst each of their top
> recommendations -- averaging estimates where an item appears in both
> lists. That's much less work for you; it's not quite as "accurate".
>
>
> On Wed, Sep 14, 2011 at 2:39 AM, Daniel Xiaodan Zhou
> <danithaca@gmail.com> wrote:
> > Is there an EnsembleRecommender or CompoundRecommender that takes input
> from other recommender algorithms and combine them to generate better
> results? If not, I'm thinking to contribute a patch. Any suggestions on
> implementation? Thanks.
> >
> > Daniel Zhou
>

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