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From sro...@apache.org
Subject svn commit: r997637 - /mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java
Date Thu, 16 Sep 2010 08:13:16 GMT
Author: srowen
Date: Thu Sep 16 08:13:16 2010
New Revision: 997637

URL: http://svn.apache.org/viewvc?rev=997637&view=rev
Log:
Don't limit number of recs stored per cluster

Modified:
    mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java

Modified: mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java
URL: http://svn.apache.org/viewvc/mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java?rev=997637&r1=997636&r2=997637&view=diff
==============================================================================
--- mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java
(original)
+++ mahout/trunk/core/src/main/java/org/apache/mahout/cf/taste/impl/recommender/TreeClusteringRecommender.java
Thu Sep 16 08:13:16 2010
@@ -63,7 +63,6 @@ public final class TreeClusteringRecomme
   
   private static final Logger log = LoggerFactory.getLogger(TreeClusteringRecommender.class);
   
-  private static final int NUM_CLUSTER_RECS = 100;
   private static final FastIDSet[] NO_CLUSTERS = new FastIDSet[0];
   private static final Random RANDOM = RandomUtils.getRandom();
   
@@ -363,7 +362,8 @@ public final class TreeClusteringRecomme
     return nearestPair;
   }
   
-  private FastByIDMap<List<RecommendedItem>> computeTopRecsPerUserID(List<FastIDSet>
clusters) throws TasteException {
+  private FastByIDMap<List<RecommendedItem>> computeTopRecsPerUserID(Iterable<FastIDSet>
clusters)
+    throws TasteException {
     FastByIDMap<List<RecommendedItem>> recsPerUser = new FastByIDMap<List<RecommendedItem>>();
     for (FastIDSet cluster : clusters) {
       List<RecommendedItem> recs = computeTopRecsForCluster(cluster);
@@ -385,8 +385,8 @@ public final class TreeClusteringRecomme
     
     TopItems.Estimator<Long> estimator = new Estimator(cluster);
     
-    List<RecommendedItem> topItems = TopItems.getTopItems(NUM_CLUSTER_RECS,
-      possibleItemIDs.iterator(), null, estimator);
+    List<RecommendedItem> topItems =
+        TopItems.getTopItems(possibleItemIDs.size(), possibleItemIDs.iterator(), null, estimator);
     
     log.debug("Recommendations are: {}", topItems);
     return Collections.unmodifiableList(topItems);



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