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

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

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  public void testRecommender() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend(1, 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    assertEquals(2, firstRecommended.getItemID());
    assertEquals(0.1f, firstRecommended.getValue(), EPSILON);
    recommender.refresh(null);
    recommended = recommender.recommend(1, 1);
    firstRecommended = recommended.get(0);   
    assertEquals(2, firstRecommended.getItemID());
    assertEquals(0.1f, firstRecommended.getValue(), EPSILON);
  }
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  public void testBestRating() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend(1, 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(2, firstRecommended.getItemID());
    assertEquals(0.1f, 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.getItemID());
    assertEquals(1.0f, first.getValue(), EPSILON);
    assertEquals(2, second.getItemID());
    assertEquals(0.5f, second.getValue(), EPSILON);
  }
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  public void testMostSimilarToMultiple() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> similar = recommender.mostSimilarItems(new long[] {0, 1}, 2);
    assertNotNull(similar);
    assertEquals(2, similar.size());
    RecommendedItem first = similar.get(0);
    RecommendedItem second = similar.get(1);
    assertEquals(2, first.getItemID());
    assertEquals(0.85f, first.getValue(), EPSILON);
    assertEquals(3, second.getItemID());
    assertEquals(-0.3f, second.getValue(), EPSILON);
  }
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  public void testRecommendedBecause() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> recommendedBecause = recommender.recommendedBecause(1, 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.getItemID());
    assertEquals(0.99f, first.getValue(), EPSILON);
    assertEquals(3, second.getItemID());
    assertEquals(0.4f, second.getValue(), EPSILON);
    assertEquals(0, third.getItemID());
    assertEquals(0.2f, third.getValue(), EPSILON);
  }
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  public void testRecommender() throws Exception {
    Recommender recommender = buildRecommender();
    List<RecommendedItem> recommended = recommender.recommend(1, 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
    assertEquals(2, firstRecommended.getItemID());
    assertEquals(0.34803885284992736, firstRecommended.getValue(), EPSILON);
    recommender.refresh(null);
    assertEquals(2, firstRecommended.getItemID());
    assertEquals(0.34803885284992736, firstRecommended.getValue(), EPSILON);
  }
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    Recommender recommender = new SlopeOneRecommender(dataModel);
    List<RecommendedItem> recommended = recommender.recommend(1, 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(2, firstRecommended.getItemID());
    assertEquals(0.2400938676203033, firstRecommended.getValue(), EPSILON);
  }
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    for (Entry<Long,List<RecommendedItem>> entry : recommendations.entrySet()) {
      long userID = entry.getKey();
      List<RecommendedItem> items = entry.getValue();
      assertNotNull(items);
      assertEquals(1, items.size());
      RecommendedItem item = items.get(0);

      if (userID == 1L) {
        assertEquals(4L, item.getItemID());
        assertEquals(4.3, item.getValue(), 0.05);
      }
      if (userID == 2L) {
        assertEquals(2L, item.getItemID());
        assertEquals(3.3, item.getValue(), 0.05);
      }
      if (userID == 3L) {
        assertEquals(3L, item.getItemID());
        assertEquals(4.1, item.getValue(), 0.05);
      }
      if (userID == 4L) {
        assertEquals(2L, item.getItemID());
        assertEquals(4.0, item.getValue(), 0.05);
      }
    }
  }
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     assertEquals(1, recommendations.size());
     assertTrue(recommendations.containsKey(4L));
     assertEquals(1, recommendations.get(4L).size());

     /* berries should have been recommended to the donkey */
     RecommendedItem recommendedItem = recommendations.get(4L).get(0);
     assertEquals(3L, recommendedItem.getItemID());
     assertEquals(3.5, recommendedItem.getValue(), 0.05);
   }
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    try {
      do {
        String itemID = in.readUTF();
        double value = in.readDouble();
        Item item = new GenericItem<String>(itemID);
        RecommendedItem recommendedItem = new GenericRecommendedItem(item, value);
        recommended.add(recommendedItem);
      } while (true);
    } catch (EOFException eofe) {
      // continue; done
    }
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  • org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommenderTest
  • org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
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