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From Douglass Davis <douglassdavi...@gmail.com>
Subject Re: product recommendations engine
Date Mon, 18 Feb 2013 19:15:31 GMT
Ok thanks.  Myrrix looks like it has much of the set-up work done so I am
taking a closer look at that.


On Mon, Feb 18, 2013 at 4:00 AM, Sofia Georgiakaki
<geosofie_tuc@yahoo.com>wrote:

> Hello Douglass,
>
> you could take a look at Mahout and Myrrix projects. These are two
> projects that provide implementations of recommendation & machine
> learning algorithms. There are MapReduce implementations as well, to
> support massive datasets.
> In addition, these systems provide client APIs/various integration points,
> so its easy to integrate them to your system.
>
> Regards,
> Sofia
>
>
>   ------------------------------
> *From:* Douglass Davis <douglassdavis50@gmail.com>
> *To:* user@hadoop.apache.org
> *Sent:* Monday, February 18, 2013 1:21 AM
> *Subject:* product recommendations engine
>
> Hello,
>
> I don't have any prior experience with Hadoop.  I am also not a statistics
> expert.  I am a software engineer, however, after looking at the docs,
> Hadoop still seems pretty intimidating to set up.
>
> I am interested in doing product recommendations.  However, I want to
> store many things about user behavior, for example whether they click on a
> link in an email, how they rate a product, whether they buy it, etc.  Then
> I would like to come up with similar items that a user may like.  I have
> seen an example just based on user ratings, but would like to add much more
> data.
>
> Also, I think the clustering could be used in terms of recommending based
> on similar descriptions, attributes, and keywords.
>
> Or, I could use a combination of the two approaches.
>
> Another question, I wonder if Hadoop takes into account the passage of
> time.  For example, a user may rate something high, then change their
> rating a couple months later.
>
> Lastly, my site is based on PHP.  I need to be able to integrate that with
> Hadoop.
>
> How feasible is this approach?  I saw a clustering example, and a
> recommendation example based on user ratings.  Are there any other advice,
> docs, or examples that you could point me to that deals with any of these
> issues?
>
> Thanks,
> Doug
>
>
>
>
>
>
>

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