You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by ss...@apache.org on 2013/03/20 12:32:12 UTC

svn commit: r1458771 - /mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java

Author: ssc
Date: Wed Mar 20 11:32:12 2013
New Revision: 1458771

URL: http://svn.apache.org/r1458771
Log:
one more fix

Modified:
    mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java

Modified: mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java
URL: http://svn.apache.org/viewvc/mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java?rev=1458771&r1=1458770&r2=1458771&view=diff
==============================================================================
--- mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java (original)
+++ mahout/trunk/examples/src/main/java/org/apache/mahout/cf/taste/similarity/precompute/example/BatchItemSimilaritiesGroupLens.java Wed Mar 20 11:32:12 2013
@@ -23,6 +23,7 @@ import org.apache.mahout.cf.taste.impl.s
 import org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter;
 import org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities;
 import org.apache.mahout.cf.taste.model.DataModel;
+import org.apache.mahout.cf.taste.recommender.ItemBasedRecommender;
 import org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities;
 
 import java.io.File;
@@ -49,7 +50,7 @@ public class BatchItemSimilaritiesGroupL
     }
 
     DataModel dataModel = new GroupLensDataModel(new File(args[0]));
-    GenericItemBasedRecommender recommender = new GenericItemBasedRecommender(dataModel,
+    ItemBasedRecommender recommender = new GenericItemBasedRecommender(dataModel,
         new LogLikelihoodSimilarity(dataModel));
     BatchItemSimilarities batch = new MultithreadedBatchItemSimilarities(recommender, 5);