-Re: Deploying a massively scalable recommender system with Apache Mahout
Sebastian Schelter 2011-08-04, 08:14
David, can you please give us some details about your usecase?
It seems like you're trying to reimplement the system I described in
That system is highly optimized for a certain class of usecases and only
makes sense if you have like 100+ million datapoints and 100+
requests/second to your recommender.
If you just want to start diving into recommendation mining and build a
first system to play with, working with this article is definitely the
wrong approach. In that case, I highly suggest you get a copy of "Mahout
in Action", http://manning.com/owen/ which gives a superb introduction
to recommendation mining with mahout.
On 03.08.2011 14:59, David Cabanillas wrote:
> Hello Sebastian,
> Right now, I have the precomputed item-similarity my problem is to
> relate it with mysql.
> In section*Setting up the infrastructure for the live recommender
> system* you suggest that we should to use MySQLJDBCDataModel, tu I don't
> understand how it works.
> Don't have any code example to relate mahout and mysql?
> Many thanks.
Sebastian Schelter 2011-08-04, 09:48
Sebastian Schelter 2011-08-04, 10:04
Sebastian Schelter 2011-08-04, 10:13