Do a "mvn install" from the top level directory first:
http://lucene.apache.org/mahout/taste.html#demo
HTH,
Grant
On Apr 1, 2009, at 11:35 AM, Joshua Bronson wrote:
Thanks all for the good info. Taste definitely sounds like a promising
direction for us to go in for our recommendation service.
I'm working through the installation of the GroupLens demo, but the
mvn
package step is failing with the output at
http://paste.pocoo.org/show/110618/. Haven't looked into this yet,
just
thought I'd post to the list first with my progress. If anyone else
uses
IRC, I've created (and am currently the only one in) the #mahout
channel on
freenode. Hope to see some of you in there!
Josh
On Wed, Apr 1, 2009 at 5:48 AM, Sean Owen <[email protected]> wrote:
Couple clarifications -
The CF components are oriented to on-line, real-time use, though of
course
one can trivially build a batch job out of that. That is what I did
with
the
EC2 image that cranks out recommendations for all users.
The CF component is also already parallelized as much as is
practical.
There
are already Hadoop jobs for parallel, batch operation.
Finally if you have some external notion of item similarity, like
text
similarity between articles, you can and should include this info by
creating an ItemSimilarity with this knowledge. In that case you
want to
use
an item-based recommender, since it is only in such a case that
item-based
recommenders have a distinct advantage.
On Apr 1, 2009 10:32 AM, "Otis Gospodnetic" <[email protected]
>
wrote:
it's the former. Taste is still not parallelized, but other parts of
Mahout
are, and they make use of Hadoop.
--------------------------
Grant Ingersoll
http://www.lucidimagination.com/
Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids)
using Solr/Lucene:
http://www.lucidimagination.com/search
