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

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

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    if (resultFile.exists()) {
      resultFile.delete();
    }

    DataModel dataModel = new GroupLensDataModel(new File(args[0]));
    ItemBasedRecommender recommender = new GenericItemBasedRecommender(dataModel,
        new LogLikelihoodSimilarity(dataModel));
    BatchItemSimilarities batch = new MultithreadedBatchItemSimilarities(recommender, 5);

    int numSimilarities = batch.computeItemSimilarities(Runtime.getRuntime().availableProcessors(), 1,
        new FileSimilarItemsWriter(resultFile));
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    assertEquals(0.1f, firstRecommended.getValue(), EPSILON);
  }

  @Test
  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());
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    assertEquals(0.5f, second.getValue(), EPSILON);
  }

  @Test
  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());
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    assertEquals(-0.3f, second.getValue(), EPSILON);
  }

  @Test
  public void testMostSimilarToMultipleExcludeIfNotSimilarToAll() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> similar = recommender.mostSimilarItems(new long[] {3, 4}, 2);
    assertNotNull(similar);
    assertEquals(1, similar.size());
    RecommendedItem first = similar.get(0);
    assertEquals(0, first.getItemID());
    assertEquals(0.2f, first.getValue(), EPSILON);
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    assertEquals(0.2f, first.getValue(), EPSILON);
  }

  @Test
  public void testMostSimilarToMultipleDontExcludeIfNotSimilarToAll() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> similar = recommender.mostSimilarItems(new long[] {1, 2, 4}, 10, false);
    assertNotNull(similar);
    assertEquals(2, similar.size());
    RecommendedItem first = similar.get(0);
    RecommendedItem second = similar.get(1);
    assertEquals(0, first.getItemID());
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  }


  @Test
  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);
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    assertEquals(0.1f, firstRecommended.getValue(), EPSILON);
  }

  @Test
  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());
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    assertEquals(0.5f, second.getValue(), EPSILON);
  }

  @Test
  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());
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    assertEquals(-0.3f, second.getValue(), EPSILON);
  }

  @Test
  public void testMostSimilarToMultipleExcludeIfNotSimilarToAll() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> similar = recommender.mostSimilarItems(new long[] {3, 4}, 2);
    assertNotNull(similar);
    assertEquals(1, similar.size());
    RecommendedItem first = similar.get(0);
    assertEquals(0, first.getItemID());
    assertEquals(0.2f, first.getValue(), EPSILON);
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    assertEquals(0.2f, first.getValue(), EPSILON);
  }

  @Test
  public void testMostSimilarToMultipleDontExcludeIfNotSimilarToAll() throws Exception {
    ItemBasedRecommender recommender = buildRecommender2();
    List<RecommendedItem> similar = recommender.mostSimilarItems(new long[] {1, 2, 4}, 10, false);
    assertNotNull(similar);
    assertEquals(2, similar.size());
    RecommendedItem first = similar.get(0);
    RecommendedItem second = similar.get(1);
    assertEquals(0, first.getItemID());
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Related Classes of org.apache.mahout.cf.taste.recommender.ItemBasedRecommender

  • org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommenderTest
  • org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilaritiesTest
  • org.apache.mahout.cf.taste.similarity.precompute.example.BatchItemSimilaritiesGroupLens
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