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From Sean Owen <>
Subject Re: Questions about PearsonCorrelation on a example
Date Tue, 23 Jun 2009 23:08:34 GMT
If you are interested in recommendations based on a clustering
approach, look at TreeClusteringRecommender. I never really 'finished'
it. It works but is slow. At the least it may be of interest, as a
starting point for you, since it does produce clusters as part of the
computation, which it sounds like you want for other reasons.


On Tue, Jun 23, 2009 at 6:52 PM, charlysf<> wrote:
> Thanks.
> This recommendation is my explicit basis recommendation, for the implicit, I
> don't have this problem, so I will start to recommend based on the
> implicit... and store more explicit data and after to merge the both.
> Now, I have a similarity based on implicit & explicit ratings, and I would
> like to make some clusters of users, which algorithm do you recommand to me
> ?
> I would like to do the same after for items, and to have some
> recommendations based on clusters.

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