Hi Guys,I have been researching the various algorithms in mahout for my usecase and am reading through various papers as well as code, I was wondering if it might be a good idea to have like a chart that outlines each of the algorithms and typical use cases of when one uses that algorithm, this would allow users to quickly get a sample implementation up and running.  I would be glad to help with this if folks find this helpful.   My use case involves building a set of algorithms that takes in training data surrounding a set of variables each of which contains/contributes a percentage weight and then classifies users into buckets, we can then provide a list of items appropriate for those users based on running item similarity algorithms in that bucket.

Best Regards    

Sounds like a great idea.  Wiki would be a great place to put it.
On Feb 14, 2012, at 3:32 PM, Saikat Kanjilal wrote:

>
> Hi Guys,I have been researching the various algorithms in mahout for my usecase and am reading through various papers as well as code, I was wondering if it might be a good idea to have like a chart that outlines each of the algorithms and typical use cases of when one uses that algorithm, this would allow users to quickly get a sample implementation up and running.  I would be glad to help with this if folks find this helpful.   My use case involves building a set of algorithms that takes in training data surrounding a set of variables each of which contains/contributes a percentage weight and then classifies users into buckets, we can then provide a list of items appropriate for those users based on running item similarity algorithms in that bucket.
>
> Best Regards    

--------------------------------------------
Grant Ingersoll
http://www.lucidimagination.com

Here is a firehose of info for you:

http://www.lucidimagination.com/search/?q=tdunning#%2Fp%3Amahout

On Wed, Feb 15, 2012 at 5:16 AM, Grant Ingersoll <[EMAIL PROTECTED]> wrote:
> Sounds like a great idea.  Wiki would be a great place to put it.
>
>
> On Feb 14, 2012, at 3:32 PM, Saikat Kanjilal wrote:
>
>>
>> Hi Guys,I have been researching the various algorithms in mahout for my usecase and am reading through various papers as well as code, I was wondering if it might be a good idea to have like a chart that outlines each of the algorithms and typical use cases of when one uses that algorithm, this would allow users to quickly get a sample implementation up and running.  I would be glad to help with this if folks find this helpful.   My use case involves building a set of algorithms that takes in training data surrounding a set of variables each of which contains/contributes a percentage weight and then classifies users into buckets, we can then provide a list of items appropriate for those users based on running item similarity algorithms in that bucket.
>>
>> Best Regards
>
> --------------------------------------------
> Grant Ingersoll
> http://www.lucidimagination.com
>
>
>

--
Lance Norskog
[EMAIL PROTECTED]