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From Sean Owen <sro...@gmail.com>
Subject Re: mahout algorithm for online ad matching
Date Fri, 06 Jan 2012 19:12:44 GMT
Sounds like a job for a recommender. If as you say the volume of ads
is relatively low, you can probably get away with the real-time
non-distributed recommenders, which is really quite easy to prototype.

On Fri, Jan 6, 2012 at 7:09 PM, Xiaomeng Wan <shawnwan@gmail.com> wrote:
> Hi,
> I recently got into this project involving matching online ads to
> website visitors based on their profiles (pageviews, search queries,
> ...). So basically, learn from previous clickers and match visitor to
> ad in real time. The data is large, so I am thinking about using
> mahout to do it. But clicking on ads is such a rare event, I am not
> sure any algorithm in mahout is proper for it.
>
> Since it is a pretty common task, I am wondering whether anybody has
> done it before and would like to share their experience, such as which
> method gives better performance and which features give best results.
>
> Any suggestions or ideas would be appreciated. Thanks in advance.
>
> Regards,
> Shawn

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