Any implementation of Recommender will do, as long as it has a constructor which takes a DataModel. You typically make your own wrapper implementation of Recommender that configures and delegates to whatever Recommender you want. SlopeOneRecommender happens to work out of the box too. Mahout In Action covers this too.
On Thu, Jan 6, 2011 at 1:09 PM, Alessandro Binhara <[email protected]> wrote: > hello .. > > I see the documentation about how run a recommendation on hadoop > > hadoop jar recommender.jar \ > org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob \ > -Dmapred.input.dir=input/users.csv \ -Dmapred.output.dir=output > \ --recommenderClassName your.project.Recommender \ --numRecommendations 10 > * > > where can I find an example of recommenderClass to run on hadoop? > > thanks >
