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From: Stefano Bellasio <stefanobellasio@gmail.com>
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Subject: Re: Grouplens dataset Recommenderjob with Hadoop
Date: Sat, 20 Nov 2010 16:06:38 +0100
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Something like this? And then i have to package it and use instead of =
Mahout-core..job right? Thanks again

public class ItemBased implements Recommender {


		//private final Recommender delegate;
		private DataModel model;=20
	=09
		public ItemBased(DataModel model) throws TasteException, =
IOException {
		=09
		ItemSimilarity similarity =3D new =
PearsonCorrelationSimilarity(model);=09
	=09
		ItemBasedRecommender recommender =3D new =
GenericItemBasedRecommender(model, similarity);
		LoadEvaluator.runLoad(recommender);
		List<RecommendedItem> recommendations =3D =
recommender.recommend(1,1);
	=09
	=09
		for (RecommendedItem recommendation : recommendations){
			System.out.println(recommendation);
		}
}
		@Override
		public float estimatePreference(long userID, long =
itemID)
				throws TasteException {
			// TODO Auto-generated method stub
			return 0;
		}
		@Override
		public DataModel getDataModel() {
			// TODO Auto-generated method stub
			return null;
		}
		@Override
		public List<RecommendedItem> recommend(long userID, int =
howMany)
				throws TasteException {
			// TODO Auto-generated method stub
			return null;
		}
		@Override
		public List<RecommendedItem> recommend(long userID, int =
howMany,
				IDRescorer rescorer) throws =
TasteException {
			// TODO Auto-generated method stub
			return null;
		}
		@Override
		public void removePreference(long userID, long itemID)
				throws TasteException {
			// TODO Auto-generated method stub
		=09
		}
		@Override
		public void setPreference(long userID, long itemID, =
float value)
				throws TasteException {
			// TODO Auto-generated method stub
		=09
		}
		@Override
		public void refresh(Collection<Refreshable> =
alreadyRefreshed) {
			// TODO Auto-generated method stub
		=09
		}
Il giorno 20/nov/2010, alle ore 12.39, Sean Owen ha scritto:

> Look at Listing 5.5. This is the kind of wrapper you need. You can =
skip the
> no-arg constructor actually and just write the one that takes a =
DataModel,
> if I recall correctly. Just delegate the rest of the methods. Inside =
the
> constructor, build whatever recommender you want.
>=20
> On Sat, Nov 20, 2010 at 11:30 AM, Stefano Bellasio <
> stefanobellasio@gmail.com> wrote:
>=20
>> So for example i need to follow the same steps of Wikipedia example =
in
>> Mahout in Action? then package it and use with this? Please i need =
some info
>> just about the correct steps :) Thanks
>>=20
>>=20


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