[ml] SocialPageRank

[Shahin Saneinejad]

Hey Jared,

Is this in R? Are you using power iteration? I'm considering both these
approaches for memory footprint and code simplicity reasons, respectively
(my laptop is a little long in the tooth).

Also, what's "quasi" about your quasi-PageRank feature?

Shahin

On Thu, Nov 25, 2010 at 4:11 PM, Jared Dunne <jareddunne at gmail.com> wrote:

> I've implemented an iterative approach to quasi-PageRank feature generation
> for all nodes.  Each iteration across all nodes is under a minute each
> time.  I still need to fix some things with my approach and possibly get
> some help sanity-checking the correctness of my algorithm.  I'll post more
> later, but I just wanted to let everyone know that I'm making good progress
> on the PageRank feature generation, so that we aren't duplicating our
> efforts.  Gonna pick this back up later this weekend.  Enjoy your feasts.
>
> Jared-
>
> On Wed, Nov 24, 2010 at 6:23 PM, <mike at mindmech.com> wrote:
>
>>  I've shared SocialPageRank<https://docs.google.com/present/edit?id=0AbXOdbbcuXxAZGNidmNnNjJfMGRkNmg4OGR2&hl=en&invite=CO_7wcEI>
>> Message from mike at mindmech.com:
>>
>> Here's the presentation I'll be giving tonight on Random Walks, PageRank, and Social Net Analysis.
>>
>>
>> Click to open:
>>
>>    - SocialPageRank<https://docs.google.com/present/edit?id=0AbXOdbbcuXxAZGNidmNnNjJfMGRkNmg4OGR2&hl=en&invite=CO_7wcEI>
>>
>>
>> Google Docs makes it easy to create, store and share online documents,
>> spreadsheets and presentations.
>> [image: Logo for Google Docs] <http://docs.google.com>
>>
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