Package org.apache.mahout.cf.taste.impl.model

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

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    CandidateItemsStrategy candidateItemsStrategy = EasyMock.createMock(CandidateItemsStrategy.class);
    MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy =
        EasyMock.createMock(MostSimilarItemsCandidateItemsStrategy.class);

    PreferenceArray preferencesFromUser = new GenericUserPreferenceArray(
        Arrays.asList(new GenericPreference(1L, 1L, 5.0f), new GenericPreference(1L, 2L, 4.0f)));

    EasyMock.expect(dataModel.getMinPreference()).andReturn(Float.NaN);
    EasyMock.expect(dataModel.getMaxPreference()).andReturn(Float.NaN);

    EasyMock.expect(dataModel.getPreferencesFromUser(1L)).andReturn(preferencesFromUser);
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          Collection<Preference> userPrefs = userIDPrefMap.get(userID);
          if (userPrefs == null) {
            userPrefs = Lists.newArrayListWithCapacity(2);
            userIDPrefMap.put(userID, userPrefs);
          }
          userPrefs.add(new GenericPreference(userID, itemID, ratingValue));
          if (user.containsKey("created_at") &&
              mongoTimestamp.compareTo(getDate(user.get("created_at"))) < 0) {
            mongoTimestamp = getDate(user.get("created_at"));
          }
        }
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  }

  // Some overrideable methods to customize the class behavior:

  protected Preference buildPreference(ResultSet rs) throws SQLException {
    return new GenericPreference(getLongColumn(rs, 1), getLongColumn(rs, 2), rs.getFloat(3));
  }
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    for(int i=0;i<animals.size();i++) {
      List<Preference> userPreferences = new ArrayList<Preference>();
      long userId = id2thing.toLongID(animals.get(i));
      for(int j=0;j<foods.size();j++) {
        if(preferences[i][j] != null) {
          userPreferences.add(new GenericPreference(userId, id2thing.toLongID(foods.get(j)), preferences[i][j]));
        }
      }
      GenericUserPreferenceArray userArray = new GenericUserPreferenceArray(userPreferences);
      preferenceMap.put(userId, userArray);
    }
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        if((userPrefList = preferecesOfUsers.get(userLong)) == null) {
          userPrefList = new ArrayList<Preference>();
          preferecesOfUsers.put(userLong, userPrefList);
        }
        // add the like that we just found to this user
        userPrefList.add(new GenericPreference(userLong, itemLong, 1));
        log.fine("Adding "+person+"("+userLong+") to "+likeName+"("+itemLong+")");
      }
     
      // create the corresponding mahout data structure from the map
      FastByIDMap<PreferenceArray> preferecesOfUsersFastMap = new FastByIDMap<PreferenceArray>();
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    FastIDSet itemIDsFromUser456 = new FastIDSet();
    itemIDsFromUser456.add(1L);
    itemIDsFromUser456.add(2L);

    List<Preference> prefs = Lists.newArrayList();
    prefs.add(new GenericPreference(123L, 1L, 1.0f));
    prefs.add(new GenericPreference(456L, 1L, 1.0f));
    PreferenceArray preferencesForItem1 = new GenericItemPreferenceArray(prefs);

    DataModel dataModel = EasyMock.createMock(DataModel.class);
    EasyMock.expect(dataModel.getPreferencesForItem(1L)).andReturn(preferencesForItem1);
    EasyMock.expect(dataModel.getItemIDsFromUser(123L)).andReturn(itemIDsFromUser123);
    EasyMock.expect(dataModel.getItemIDsFromUser(456L)).andReturn(itemIDsFromUser456);

    PreferenceArray prefArrayOfUser123 =
        new GenericUserPreferenceArray(Collections.singletonList(new GenericPreference(123L, 1L, 1.0f)));

    CandidateItemsStrategy strategy = new PreferredItemsNeighborhoodCandidateItemsStrategy();

    EasyMock.replay(dataModel);
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    CandidateItemsStrategy candidateItemsStrategy = EasyMock.createMock(CandidateItemsStrategy.class);
    MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy =
        EasyMock.createMock(MostSimilarItemsCandidateItemsStrategy.class);

    PreferenceArray preferencesFromUser = new GenericUserPreferenceArray(
        Arrays.asList(new GenericPreference(1L, 1L, 5.0f), new GenericPreference(1L, 2L, 4.0f)));

    EasyMock.expect(dataModel.getMinPreference()).andReturn(Float.NaN);
    EasyMock.expect(dataModel.getMaxPreference()).andReturn(Float.NaN);

    EasyMock.expect(dataModel.getPreferencesFromUser(1L)).andReturn(preferencesFromUser);
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  @Test
  public void lessItemsThanBatchSize() throws Exception {

    FastByIDMap<PreferenceArray> userData = new FastByIDMap<PreferenceArray>();
    userData.put(1, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(1, 1, 1),
        new GenericPreference(1, 2, 1), new GenericPreference(1, 3, 1))));
    userData.put(2, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(2, 1, 1),
        new GenericPreference(2, 2, 1), new GenericPreference(2, 4, 1))));

    DataModel dataModel = new GenericDataModel(userData);
    ItemBasedRecommender recommender =
        new GenericItemBasedRecommender(dataModel, new TanimotoCoefficientSimilarity(dataModel));
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  @Test
  public void higherDegreeOfParallelismThanBatches() throws Exception {

    FastByIDMap<PreferenceArray> userData = new FastByIDMap<PreferenceArray>();
    userData.put(1, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(1, 1, 1),
        new GenericPreference(1, 2, 1), new GenericPreference(1, 3, 1))));
    userData.put(2, new GenericUserPreferenceArray(Arrays.asList(new GenericPreference(2, 1, 1),
        new GenericPreference(2, 2, 1), new GenericPreference(2, 4, 1))));

    DataModel dataModel = new GenericDataModel(userData);
    ItemBasedRecommender recommender =
        new GenericItemBasedRecommender(dataModel, new TanimotoCoefficientSimilarity(dataModel));
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public final class SamplingCandidateItemsStrategyTest extends TasteTestCase {

  @Test
  public void testStrategy() throws TasteException {
    List<Preference> prefsOfUser123 = Lists.newArrayList();
    prefsOfUser123.add(new GenericPreference(123L, 1L, 1.0f));

    List<Preference> prefsOfUser456 = Lists.newArrayList();
    prefsOfUser456.add(new GenericPreference(456L, 1L, 1.0f));
    prefsOfUser456.add(new GenericPreference(456L, 2L, 1.0f));

    List<Preference> prefsOfUser789 = Lists.newArrayList();
    prefsOfUser789.add(new GenericPreference(789L, 1L, 0.5f));
    prefsOfUser789.add(new GenericPreference(789L, 3L, 1.0f));

    PreferenceArray prefArrayOfUser123 = new GenericUserPreferenceArray(prefsOfUser123);

    FastByIDMap<PreferenceArray> userData = new FastByIDMap<PreferenceArray>();
    userData.put(123L, prefArrayOfUser123);
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