David, can you please give us some details about your usecase?
It seems like you're trying to reimplement the system I described in http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/
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.
--sebastian 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. bye --david
