David, it is not helpful and frustrating, if you don't answer questions.
I think you are on a wrong track currently, to quote my blogpost: "Be aware that this is a guide intended for readers already familiar with Collaborative Filtering and recommender systems that are evaluating Mahout as a choice for building their production systems on. The focus is on making the right engineering decisions rather than on explaining algorithms here."
And please reply to the user-mailinglist and not to me in person, the purpose of Apache projects offering support is to have public conversations and give all readers the possibility to learn not to have free private consultation by the committers.
--sebastian On 04.08.2011 11:44, David Cabanillas wrote:
Right now I only want to connect mahout with mysql and I have not find any example. In the section *Putting the puzzle together you said: * DataSource datasource = ... But what's means ... ??? On Thu, Aug 4, 2011 at 10:14 AM, Sebastian Schelter <[email protected] <mailto:[email protected]>> wrote: 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/ <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 -- bye --david
