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

Examples of org.apache.mahout.cf.taste.model.Preference

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      if (preferenceValueString.length() == 0) {
        if (prefs != null) {
          // remove pref
          Iterator<Preference> prefsIterator = prefs.iterator();
          while (prefsIterator.hasNext()) {
            Preference pref = prefsIterator.next();
            if (pref.getItemID() == itemID) {
              prefsIterator.remove();
              break;
            }
          }
        }
      } else {
       
        float preferenceValue = Float.parseFloat(preferenceValueString);
       
        boolean exists = false;
        if (prefs != null) {
          for (Preference pref : prefs) {
            if (pref.getItemID() == itemID) {
              exists = true;
              pref.setValue(preferenceValue);
              break;
            }
          }
        }
       
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      List<Preference> prefs2 = new ArrayList<Preference>(prefs2Array.length());
      for (Preference pref : prefs2Array) {
        prefs2.add(pref);
      }
      for (Iterator<Preference> iterator = prefs2.iterator(); iterator.hasNext();) {
        Preference pref = iterator.next();
        if (relevantItemIDs.contains(pref.getItemID())) {
          iterator.remove();
        }
      }
      if (!prefs2.isEmpty()) {
        trainingUsers.put(userID2, new GenericUserPreferenceArray(prefs2));
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    List<Preference> trainingPrefs = null;
    List<Preference> testPrefs = null;
    PreferenceArray prefs = dataModel.getPreferencesFromUser(userID);
    int size = prefs.length();
    for (int i = 0; i < size; i++) {
      Preference newPref = new GenericPreference(userID, prefs.getItemID(i), prefs.getValue(i));
      if (random.nextDouble() < trainingPercentage) {
        if (trainingPrefs == null) {
          trainingPrefs = new ArrayList<Preference>(3);
        }
        trainingPrefs.add(newPref);
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  public GenericItemPreferenceArray(List<Preference> prefs) {
    this(prefs.size());
    int size = prefs.size();
    for (int i = 0; i < size; i++) {
      Preference pref = prefs.get(i);
      ids[i] = pref.getUserID();
      values[i] = pref.getValue();
    }
    if (size > 0) {
      id = prefs.get(0).getItemID();
    }
  }
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  public BooleanItemPreferenceArray(List<Preference> prefs, boolean forOneUser) {
    this(prefs.size());
    int size = prefs.size();
    for (int i = 0; i < size; i++) {
      Preference pref = prefs.get(i);
      ids[i] = forOneUser ? pref.getItemID() : pref.getUserID();
    }
    if (size > 0) {
      id = forOneUser ? prefs.get(0).getUserID() : prefs.get(0).getItemID();
    }
  }
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  public GenericUserPreferenceArray(List<Preference> prefs) {
    this(prefs.size());
    int size = prefs.size();
    for (int i = 0; i < size; i++) {
      Preference pref = prefs.get(i);
      ids[i] = pref.getItemID();
      values[i] = pref.getValue();
    }
    if (size > 0) {
      id = prefs.get(0).getUserID();
    }
  }
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  public BooleanUserPreferenceArray(List<Preference> prefs) {
    this(prefs.size());
    int size = prefs.size();
    for (int i = 0; i < size; i++) {
      Preference pref = prefs.get(i);
      ids[i] = pref.getItemID();
    }
    if (size > 0) {
      id = prefs.get(0).getUserID();
    }
  }
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    PreferenceArray sortedPrefs = rawPrefs.clone();
    sortedPrefs.sortByValueReversed();
    // Cap this at NUM_TOP_PREFERENCES just to be brief
    int max = Math.min(NUM_TOP_PREFERENCES, length);
    for (int i = 0; i < max; i++) {
      Preference pref = sortedPrefs.get(i);
      writer.print(pref.getValue());
      writer.print('\t');
      writer.println(pref.getItemID());
    }
    writer.println();
    writer.println("Recommendations:");
    for (RecommendedItem recommendedItem : items) {
      writer.print(recommendedItem.getValue());
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    InverseUserFrequency iuf = new InverseUserFrequency(dataModel, 10.0);

    PreferenceArray user5Prefs = dataModel.getPreferencesFromUser(5);

    for (int i = 0; i < 5; i++) {
      Preference pref = user5Prefs.get(i);
      assertNotNull(pref);
      assertEquals(Math.log(5.0 / (double) (5 - i)) / Math.log(iuf.getLogBase()),
          iuf.getTransformedValue(pref),
          EPSILON);
    }
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  @Test
  public void testPreferencesForItem() throws Exception {
    PreferenceArray prefs = model.getPreferencesForItem(456);
    assertNotNull(prefs);
    Preference pref1 = prefs.get(0);
    assertEquals(123, pref1.getUserID());
    assertEquals(456, pref1.getItemID());
    Preference pref2 = prefs.get(1);
    assertEquals(456, pref2.getUserID());
    assertEquals(456, pref2.getItemID());
    assertEquals(2, prefs.length());
  }
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