Examples of estimatePreference()

Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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    cachingRecommender.refresh(null);
    cachingRecommender.estimatePreference(1, 1);
    assertEquals(10, recommendCount.intValue());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.intValue());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.intValue());
  }

}
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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  }

  @Test
  public void testEstimatePref() throws Exception {
    Recommender recommender = buildRecommender();
    assertEquals(0.1f, recommender.estimatePreference(1, 2), EPSILON);
  }

  @Test
  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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  }

  @Test
  public void testEstimatePref() throws Exception {
    Recommender recommender = buildRecommender();
    assertEquals(0.1f, recommender.estimatePreference(1, 2), EPSILON);
  }

  @Test
  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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  }

  @Test
  public void testEstimatePref() throws Exception {
    Recommender recommender = buildRecommender();
    assertEquals(0.1f, recommender.estimatePreference(1, 2), EPSILON);
  }

  /**
   * Contributed test case that verifies fix for bug
   * <a href="http://sourceforge.net/tracker/index.php?func=detail&amp;aid=1396128&amp;group_id=138771&amp;atid=741665">
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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            });

    UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    ClusterSimilarity clusterSimilarity = new FarthestNeighborClusterSimilarity(similarity);
    Recommender recommender = new TreeClusteringRecommender2(dataModel, clusterSimilarity, 2);
    assertEquals(0.9f, recommender.estimatePreference(3, 3), EPSILON);
  }

  @Test
  public void testBestRating() throws Exception {
    DataModel dataModel = getDataModel(
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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            });

    UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    ClusterSimilarity clusterSimilarity = new FarthestNeighborClusterSimilarity(similarity);
    Recommender recommender = new TreeClusteringRecommender(dataModel, clusterSimilarity, 2);
    assertEquals(0.9f, recommender.estimatePreference(3, 3), EPSILON);
  }

  @Test
  public void testBestRating() throws Exception {
    DataModel dataModel = getDataModel(
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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    assertEquals(8, recommendCount.get());
    cachingRecommender.recommend(2, 1, null);
    assertEquals(9, recommendCount.get());

    cachingRecommender.refresh(null);
    cachingRecommender.estimatePreference(1, 1);
    assertEquals(10, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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    assertEquals(9, recommendCount.get());

    cachingRecommender.refresh(null);
    cachingRecommender.estimatePreference(1, 1);
    assertEquals(10, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
  }
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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    cachingRecommender.refresh(null);
    cachingRecommender.estimatePreference(1, 1);
    assertEquals(10, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
    cachingRecommender.estimatePreference(1, 2);
    assertEquals(11, recommendCount.get());
  }

}
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Examples of org.apache.mahout.cf.taste.recommender.Recommender.estimatePreference()

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    assertEquals(originalRecommended.get(1).getItemID(), rescoredRecommended.get(0).getItemID());
  }

  public void testEstimatePref() throws Exception {
    Recommender recommender = buildRecommender();
    assertEquals(0.3f, recommender.estimatePreference(1, 2));
  }

  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend(1, 1);
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