Examples of GenericDataModel

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

78
79
80
81
82
83
84
85
86
87
88
  public void testRescorer() throws Exception {
    List<User> users = new ArrayList<User>(3);
    users.add(getUser("test1", 0.1, 0.2));
    users.add(getUser("test2", 0.2, 0.3, 0.3, 0.6));
    users.add(getUser("test3", 0.4, 0.4, 0.5, 0.9));
    DataModel dataModel = new GenericDataModel(users);
    UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    UserNeighborhood neighborhood = new NearestNUserNeighborhood(1, similarity, dataModel);
    Recommender recommender = new GenericUserBasedRecommender(dataModel, neighborhood, similarity);
    List<RecommendedItem> originalRecommended = recommender.recommend("test1", 2);
    List<RecommendedItem> rescoredRecommended =
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

126
127
128
129
130
131
132
133
134
135
136
    List<User> users = new ArrayList<User>(3);
    users.add(getUser("test1", 0.1, 0.2));
    users.add(getUser("test2", 0.2, 0.3, 0.3, 0.6));
    users.add(getUser("test3", 0.4, 0.4, 0.5, 0.9));
    users.add(getUser("test4"));
    DataModel dataModel = new GenericDataModel(users);
    UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    UserNeighborhood neighborhood = new NearestNUserNeighborhood(3, similarity, dataModel);
    UserBasedRecommender recommender = new GenericUserBasedRecommender(dataModel, neighborhood, similarity);
    Collection<User> mostSimilar = recommender.mostSimilarUsers("test4", 3);
    assertNotNull(mostSimilar);
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

136
137
138
139
140
141
142
143
144
145
    assertNotNull(mostSimilar);
    assertEquals(0, mostSimilar.size());
  }

  private static UserBasedRecommender buildRecommender() throws Exception {
    DataModel dataModel = new GenericDataModel(getMockUsers());
    UserSimilarity similarity = new PearsonCorrelationSimilarity(dataModel);
    UserNeighborhood neighborhood = new NearestNUserNeighborhood(1, similarity, dataModel);
    return new GenericUserBasedRecommender(dataModel, neighborhood, similarity);
  }
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

72
73
74
75
76
77
78
79
80
81
82
  public void testRescorer() throws Exception {
    List<User> users = new ArrayList<User>(3);
    users.add(getUser("test1", 0.1, 0.2));
    users.add(getUser("test2", 0.2, 0.3, 0.3, 0.6));
    users.add(getUser("test3", 0.4, 0.4, 0.5, 0.9));
    DataModel dataModel = new GenericDataModel(users);
    Recommender recommender = new SlopeOneRecommender(dataModel);
    List<RecommendedItem> originalRecommended = recommender.recommend("test1", 2);
    List<RecommendedItem> rescoredRecommended =
            recommender.recommend("test1", 2, new ReversingRescorer<Item>());
    assertNotNull(originalRecommended);
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

95
96
97
98
99
100
101
102
103
104
105
  public void testBestRating() throws Exception {
    List<User> users = new ArrayList<User>(3);
    users.add(getUser("test1", 0.0, 0.3));
    users.add(getUser("test2", 0.2, 0.3, 0.3));
    users.add(getUser("test3", 0.4, 0.3, 0.5));
    DataModel dataModel = new GenericDataModel(users);
    Recommender recommender = new SlopeOneRecommender(dataModel);
    List<RecommendedItem> recommended = recommender.recommend("test1", 1);
    assertNotNull(recommended);
    assertEquals(1, recommended.size());
    RecommendedItem firstRecommended = recommended.get(0);
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

110
111
112
113
114
115
116
117
118
  public void testDiffStdevBehavior() throws Exception {
    List<User> users = new ArrayList<User>(3);
    users.add(getUser("test1", 0.1, 0.2));
    users.add(getUser("test2", 0.2, 0.3, 0.6));
    DataModel dataModel = new GenericDataModel(users);
    Recommender recommender = new SlopeOneRecommender(dataModel);
    assertEquals(0.6, recommender.estimatePreference("test1", "2"), EPSILON);
  }
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

116
117
118
119
120
121
122
123
    Recommender recommender = new SlopeOneRecommender(dataModel);
    assertEquals(0.6, recommender.estimatePreference("test1", "2"), EPSILON);
  }

  private static Recommender buildRecommender() throws TasteException {
    DataModel dataModel = new GenericDataModel(getMockUsers());
    return new SlopeOneRecommender(dataModel);
  }
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

27
28
29
30
31
32
33
34
35
36
37
* Tests {@link MemoryDiffStorage}.
*/
public class MemoryDiffStorageTest extends TasteTestCase {

  public void testGetDiff() throws Exception {
    DataModel model = new GenericDataModel(getMockUsers());
    MemoryDiffStorage storage = new MemoryDiffStorage(model, Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
    RunningAverage average = storage.getDiff("1", "2");
    assertEquals(0.23333333333333334, average.getAverage(), EPSILON);
    assertEquals(3, average.getCount());
  }
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

35
36
37
38
39
40
41
42
43
44
45
    assertEquals(0.23333333333333334, average.getAverage(), EPSILON);
    assertEquals(3, average.getCount());
  }

  public void testUpdate() throws Exception {
    DataModel model = new GenericDataModel(getMockUsers());
    MemoryDiffStorage storage = new MemoryDiffStorage(model, Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
    storage.updateItemPref("1", 0.5, false);
    RunningAverage average = storage.getDiff("1", "2");
    assertEquals(0.06666666666666668, average.getAverage(), EPSILON);
    assertEquals(3, average.getCount());
View Full Code Here

Examples of org.apache.mahout.cf.taste.impl.model.GenericDataModel

44
45
46
47
48
49
50
51
52
53
54
    assertEquals(0.06666666666666668, average.getAverage(), EPSILON);
    assertEquals(3, average.getCount());
  }

  public void testRemove() throws Exception {
    DataModel model = new GenericDataModel(getMockUsers());
    MemoryDiffStorage storage = new MemoryDiffStorage(model, Weighting.UNWEIGHTED, false, Long.MAX_VALUE);
    storage.updateItemPref("1", 0.5, true);
    RunningAverage average = storage.getDiff("1", "2");
    assertEquals(0.1, average.getAverage(), EPSILON);
    assertEquals(2, average.getCount());
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.