Package org.apache.mahout.cf.taste.recommender

Examples of org.apache.mahout.cf.taste.recommender.RecommendedItem

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    ClusterSimilarity clusterSimilarity = new FarthestNeighborClusterSimilarity(similarity);
    Recommender recommender = new TreeClusteringRecommender(dataModel, clusterSimilarity, 2);
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    // item one should be recommended because it has a greater rating/score
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.3, firstRecommended.getValue(), EPSILON);
  }
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  public void testRecommender() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.34803885284992736, firstRecommended.getValue(), EPSILON);
    recommender.refresh(null);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.34803885284992736, firstRecommended.getValue(), EPSILON);
  }
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    DataModel dataModel = new GenericDataModel(users);
    Recommender recommender = new SlopeOneRecommender(dataModel);
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    // item one should be recommended because it has a greater rating/score
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.2400938676203033, firstRecommended.getValue(), EPSILON);
  }
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  public void testRecommender() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.3, firstRecommended.getValue());
    recommender.refresh(null);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.3, firstRecommended.getValue());
  }
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  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    // item one should be recommended because it has a greater rating/score
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.3, firstRecommended.getValue(), EPSILON);
  }
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  public void testRecommender() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.1, firstRecommended.getValue(), EPSILON);
    recommender.refresh(null);
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.1, firstRecommended.getValue(), EPSILON);
  }
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  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    // item one should be recommended because it has a greater rating/score
    assertEquals(new GenericItem<String>("2"), firstRecommended.getItem());
    assertEquals(0.1, firstRecommended.getValue(), EPSILON);
  }
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  public void testMostSimilar() throws Exception {
    ItemBasedRecommender recommender = buildRecommender();
    List<RecommendedItem> similar = recommender.mostSimilarItems("0", 2);
    assertNotNull(similar);
    assertEquals(2, similar.size());
    RecommendedItem first = similar.get(0);
    RecommendedItem second = similar.get(1);
    assertEquals("1", first.getItem().getID());
    assertEquals(1.0, first.getValue(), EPSILON);
    assertEquals("2", second.getItem().getID());
    assertEquals(0.5, second.getValue(), EPSILON);
  }
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    itemIDs.add("0");
    itemIDs.add("1");
    List<RecommendedItem> similar = recommender.mostSimilarItems(itemIDs, 2);
    assertNotNull(similar);
    assertEquals(2, similar.size());
    RecommendedItem first = similar.get(0);
    RecommendedItem second = similar.get(1);
    assertEquals("2", first.getItem().getID());
    assertEquals(0.85, first.getValue(), EPSILON);
    assertEquals("3", second.getItem().getID());
    assertEquals(-0.3, second.getValue(), EPSILON);
  }
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  public void testRecommendedBecause() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> recommendedBecause = recommender.recommendedBecause("test1", "4", 3);
    assertNotNull(recommendedBecause);
    assertEquals(3, recommendedBecause.size());
    RecommendedItem first = recommendedBecause.get(0);
    RecommendedItem second = recommendedBecause.get(1);
    RecommendedItem third = recommendedBecause.get(2);
    assertEquals("2", first.getItem().getID());
    assertEquals(0.99, first.getValue(), EPSILON);
    assertEquals("3", second.getItem().getID());
    assertEquals(0.4, second.getValue(), EPSILON);
    assertEquals("0", third.getItem().getID());
    assertEquals(0.2, third.getValue(), EPSILON);
  }
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  • org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
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  • org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommenderTest
  • org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
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