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Posted to user@mahout.apache.org by Andre Panisson <pa...@di.unito.it> on 2009/04/10 16:38:23 UTC
Recommender impl using interpolated knn and SVD
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
Re: Recommender impl using interpolated knn and SVD
Posted by Grant Ingersoll <gs...@apache.org>.
On Apr 10, 2009, at 2:17 PM, Sean Owen wrote:
> Grant sounds like it's true that it's sufficient to select that option
> in JIRA when attaching a patch file that says permission is given to
> include in the project?
Yeah, it sounds that way.
>
>
> Go ahead and generate a patch then. If that is inconvenient or
> difficult you could send me the code and I can create a patch/issue
> for you to bless.
Patch is the recommended way, that way the little permission checkbox
gets checked, etc.
>
>
> Indeed as Grant says, keep all of mahout-dev in the loop though I can
> take charge of integrating this. (Or Grant you're welcome to as well,
> just happy to volunteer to do all the legwork.)
You can definitely take the lead, but I'm learning CF more and more
each day, so it is good for me to pay attention
Re: Recommender impl using interpolated knn and SVD
Posted by Sean Owen <sr...@gmail.com>.
Grant sounds like it's true that it's sufficient to select that option
in JIRA when attaching a patch file that says permission is given to
include in the project?
Go ahead and generate a patch then. If that is inconvenient or
difficult you could send me the code and I can create a patch/issue
for you to bless.
Indeed as Grant says, keep all of mahout-dev in the loop though I can
take charge of integrating this. (Or Grant you're welcome to as well,
just happy to volunteer to do all the legwork.)
Sean
On Fri, Apr 10, 2009 at 4:27 PM, Andre Panisson <pa...@di.unito.it> wrote:
> 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.
>
> André
Re: Recommender impl using interpolated knn and SVD
Posted by Andre Panisson <pa...@di.unito.it>.
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.
André
Citando Sean Owen <sr...@gmail.com>:
> 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
> http://issues.apache.org/jira/browse/MAHOUT 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 <pa...@di.unito.it> 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
>>
>>
>
Re: Recommender impl using interpolated knn and SVD
Posted by Sean Owen <sr...@gmail.com>.
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
http://issues.apache.org/jira/browse/MAHOUT 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 <pa...@di.unito.it> 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
>
>
Re: Recommender impl using interpolated knn and SVD
Posted by Grant Ingersoll <gs...@apache.org>.
Hey André,
This sounds interesting. http://cwiki.apache.org/MAHOUT/howtocontribute.html
is the best starting place. The gist of it is, create a patch and
attach it to a JIRA issue and then pop over to mahout-dev@lucene.apache.org
and work with us to get it committed.
Let us know if you have any issues with patching, etc.
-Grant
On Apr 10, 2009, at 10:38 AM, 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
>
--------------------------
Grant Ingersoll
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