Package org.grouplens.lenskit.core

Examples of org.grouplens.lenskit.core.LenskitConfiguration.bind()

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        rs.add(Ratings.make(2, 7, 4));
        rs.add(Ratings.make(3, 7, 1.5));

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(EventCollectionDAO.create(rs));
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomainBuilder(1, 5)
                                                       .setPrecision(1)
                                                       .build());
        ItemScorer predictor = LenskitRecommenderEngine.build(config)
                                                       .createRecommender()
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        rs.add(Ratings.make(3, 7, 1.5));

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(EventCollectionDAO.create(rs));
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomainBuilder(1, 5)
                                                       .setPrecision(1)
                                                       .build());
        ItemScorer predictor = LenskitRecommenderEngine.build(config)
                                                       .createRecommender()
                                                       .getItemScorer();
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        rs.add(Ratings.make(8, 5, 4));

        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
        // factory.setComponent(UserVectorNormalizer.class, IdentityVectorNormalizer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
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        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
        // factory.setComponent(UserVectorNormalizer.class, IdentityVectorNormalizer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
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        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
        // factory.setComponent(UserVectorNormalizer.class, IdentityVectorNormalizer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
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        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
        // factory.setComponent(UserVectorNormalizer.class, IdentityVectorNormalizer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
        engine = LenskitRecommenderEngine.build(config);
    }
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        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
        // factory.setComponent(UserVectorNormalizer.class, IdentityVectorNormalizer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
        engine = LenskitRecommenderEngine.build(config);
    }

    @SuppressWarnings("deprecation")
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        rs.add(Ratings.make(6, 8, 2));
        rs.add(Ratings.make(1, 9, 3));
        rs.add(Ratings.make(3, 9, 4));
        EventCollectionDAO dao = new EventCollectionDAO(rs);
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
        // this is the default
        config.bind(UserVectorNormalizer.class)
              .to(DefaultUserVectorNormalizer.class);
        config.bind(VectorNormalizer.class)
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        rs.add(Ratings.make(1, 9, 3));
        rs.add(Ratings.make(3, 9, 4));
        EventCollectionDAO dao = new EventCollectionDAO(rs);
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
        // this is the default
        config.bind(UserVectorNormalizer.class)
              .to(DefaultUserVectorNormalizer.class);
        config.bind(VectorNormalizer.class)
              .to(IdentityVectorNormalizer.class);
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        EventCollectionDAO dao = new EventCollectionDAO(rs);
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
        // this is the default
        config.bind(UserVectorNormalizer.class)
              .to(DefaultUserVectorNormalizer.class);
        config.bind(VectorNormalizer.class)
              .to(IdentityVectorNormalizer.class);
        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        session = engine.createRecommender();
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