Examples of Recommender

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

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                    {0.1, 0.4, 0.5, 0.8, 0.9, 1.0},
                    {0.2, 0.3, 0.6, 0.7, 0.1, 0.2},
            });
    ItemSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    Optimizer optimizer = new ConjugateGradientOptimizer();
    Recommender recommender = new KnnItemBasedRecommender(dataModel, similarity, optimizer, 5);
    List<RecommendedItem> fewRecommended = recommender.recommend(1, 2);
    List<RecommendedItem> moreRecommended = recommender.recommend(1, 4);
    for (int i = 0; i < fewRecommended.size(); i++) {
      assertEquals(fewRecommended.get(i).getItemID(), moreRecommended.get(i).getItemID());
    }
    recommender.refresh(null);
    for (int i = 0; i < fewRecommended.size(); i++) {
      assertEquals(fewRecommended.get(i).getItemID(), moreRecommended.get(i).getItemID());
    }
  }
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Examples of org.apache.mahout.cf.taste.recommender.Recommender

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                    {0.2, 0.3, 0.3, 0.6},
                    {0.4, 0.5, 0.5, 0.9},
            });
    ItemSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    Optimizer optimizer = new ConjugateGradientOptimizer();
    Recommender recommender = new KnnItemBasedRecommender(dataModel, similarity, optimizer, 5);
    List<RecommendedItem> originalRecommended = recommender.recommend(1, 2);
    List<RecommendedItem> rescoredRecommended =
        recommender.recommend(1, 2, new ReversingRescorer<Long>());
    assertNotNull(originalRecommended);
    assertNotNull(rescoredRecommended);
    assertEquals(2, originalRecommended.size());
    assertEquals(2, rescoredRecommended.size());
    assertEquals(originalRecommended.get(0).getItemID(), rescoredRecommended.get(1).getItemID());
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Examples of org.grouplens.lenskit.Recommender

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    }

    @SuppressWarnings("deprecation")
    @Test
    public void testSlopeOneRecommenderEngineCreate() {
        Recommender rec = engine.createRecommender();

        assertThat(rec.getItemScorer(),
                   instanceOf(SlopeOneItemScorer.class));
        RatingPredictor rp = rec.getRatingPredictor();
        assertThat(rp, instanceOf(SimpleRatingPredictor.class));
        assertThat(((SimpleRatingPredictor) rp).getScorer(),
                   sameInstance(rec.getItemScorer()));
        assertThat(rec.getItemRecommender(),
                   instanceOf(TopNItemRecommender.class));
    }
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