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From Andre Panisson <>
Subject Re: Recommender impl using interpolated knn and SVD
Date Fri, 10 Apr 2009 15:27:03 GMT
Hi Sean, very good! I will wait for the comments from the Apache folk,  
and if everything is ok, I will open a JIRA issue with the patch.


Citando Sean Owen <>:

> Wow, very nice. I'm the guy to talk to. I had taken a crack at
> SVD-related implementations a few years ago and found it too
> complicated for my brain, and too slow. It is good to hear you have
> had success. It has been some time since I myself added any new
> algorithms.
> Perhaps the more experienced Apache folk can comment on this -- is
> this significant enough of a contribution that it needs a software
> grant agreement of some kind? Or is it OK to open a JIRA issue, attach
> a patch, and confirm there that it is granted to the ASF?
> Beyond that, the next step is to open an issue at
> and attach a patch which
> includes the changes. I can commit it, then I will probably have some
> tweaks and other changes I would like to make, which we can
> collaborate on.
> Sean
> On Fri, Apr 10, 2009 at 3:38 PM, Andre Panisson <> wrote:
>> Hi,
>> I have an item based recommender implementation that uses Knn with
>> interpolated weights, based on the paper of Robert M. Bell and Yehuda Koren
>> in ICDM '07, and another implementation that uses Single Value Decomposition
>> to capture the features of a DataSet. I had very good results from these two
>> implementations, and I would like to share it with this project in order to
>> improve it and to know results from other people. What I need to do?
>> Thanks,
>> André

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