Package org.grouplens.lenskit.core

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

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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(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(LiveNeighborFinder.class);

        engine = LenskitRecommenderEngine.build(config);
    }
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        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(LiveNeighborFinder.class);

        engine = LenskitRecommenderEngine.build(config);
    }
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        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(LiveNeighborFinder.class);

        engine = LenskitRecommenderEngine.build(config);
    }

    @SuppressWarnings("deprecation")
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        rs.add(Ratings.make(8, 5, 4));

        EventDAO dao = EventCollectionDAO.create(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(SnapshotNeighborFinder.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        Recommender rec = engine.createRecommender();
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        EventDAO dao = EventCollectionDAO.create(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(SnapshotNeighborFinder.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        Recommender rec = engine.createRecommender();
        assertThat(rec.getItemScorer(),
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        EventDAO dao = EventCollectionDAO.create(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(SnapshotNeighborFinder.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        Recommender rec = engine.createRecommender();
        assertThat(rec.getItemScorer(),
                   instanceOf(UserUserItemScorer.class));
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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));

        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)
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        rs.add(Ratings.make(1, 9, 3));
        rs.add(Ratings.make(3, 9, 4));

        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, 9, 4));

        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(1, 7, 4));
        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)
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