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

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

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            ? new ImplicitFeedbackAlternatingLeastSquaresSolver(numFeatures, lambda, alpha, itemY) : null;

        while (userIDsIterator.hasNext()) {
          final long userID = userIDsIterator.nextLong();
          final LongPrimitiveIterator itemIDsFromUser = dataModel.getItemIDsFromUser(userID).iterator();
          final PreferenceArray userPrefs = dataModel.getPreferencesFromUser(userID);
          queue.execute(new Runnable() {
            @Override
            public void run() {
              List<Vector> featureVectors = Lists.newArrayList();
              while (itemIDsFromUser.hasNext()) {
                long itemID = itemIDsFromUser.nextLong();
                featureVectors.add(features.getItemFeatureColumn(itemIndex(itemID)));
              }

              Vector userFeatures = usesImplicitFeedback
                  ? implicitFeedbackSolver.solve(sparseUserRatingVector(userPrefs))
                  : AlternatingLeastSquaresSolver.solve(featureVectors, ratingVector(userPrefs), lambda, numFeatures);

              features.setFeatureColumnInU(userIndex(userID), userFeatures);
            }
          });
        }
      } finally {
        queue.shutdown();
        try {
          queue.awaitTermination(dataModel.getNumUsers(), TimeUnit.SECONDS);
        } catch (InterruptedException e) {
          log.warn("Error when computing user features", e);
        }
      }

      /* fix U - compute M */
      queue = createQueue();
      LongPrimitiveIterator itemIDsIterator = dataModel.getItemIDs();
      try {

        final ImplicitFeedbackAlternatingLeastSquaresSolver implicitFeedbackSolver = usesImplicitFeedback
            ? new ImplicitFeedbackAlternatingLeastSquaresSolver(numFeatures, lambda, alpha, userY) : null;

        while (itemIDsIterator.hasNext()) {
          final long itemID = itemIDsIterator.nextLong();
          final PreferenceArray itemPrefs = dataModel.getPreferencesForItem(itemID);
          queue.execute(new Runnable() {
            @Override
            public void run() {
              List<Vector> featureVectors = Lists.newArrayList();
              for (Preference pref : itemPrefs) {
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        matrix[idIndex][feature] = vector.get(feature);
      }
    }

    protected double averateRating(long itemID) throws TasteException {
      PreferenceArray prefs = dataModel.getPreferencesForItem(itemID);
      RunningAverage avg = new FullRunningAverage();
      for (Preference pref : prefs) {
        avg.addDatum(pref.getValue());
      }
      return avg.getAverage();
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  @Override
  public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer) throws TasteException {
    Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1");
    log.debug("Recommending items for user ID '{}'", userID);

    PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID);
    FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser);

    List<RecommendedItem> topItems = TopItems.getTopItems(howMany, possibleItemIDs.iterator(), rescorer,
        new Estimator(userID));
    log.debug("Recommendations are: {}", topItems);
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    // This is kind of gross but need to handle two types of storage
    Object maybePrefs = data.get(userID);
    if (fromPriorData) {
      // Data are PreferenceArray

      PreferenceArray prefs = (PreferenceArray) maybePrefs;
      if (!hasTimestamp && preferenceValueString.isEmpty()) {
        // Then line is of form "userID,itemID,", meaning remove
        if (prefs != null) {
          boolean exists = false;
          int length = prefs.length();
          for (int i = 0; i < length; i++) {
            if (prefs.getItemID(i) == itemID) {
              exists = true;
              break;
            }
          }
          if (exists) {
            if (length == 1) {
              data.remove(userID);
            } else {
              PreferenceArray newPrefs = new GenericUserPreferenceArray(length - 1);
              for (int i = 0, j = 0; i < length; i++, j++) {
                if (prefs.getItemID(i) == itemID) {
                  j--;
                } else {
                  newPrefs.set(j, prefs.get(i));
                }
              }
              ((FastByIDMap<PreferenceArray>) data).put(userID, newPrefs);
            }
          }
        }

        removeTimestamp(userID, itemID, timestamps);

      } else {

        float preferenceValue = Float.parseFloat(preferenceValueString);

        boolean exists = false;
        if (prefs != null) {
          for (int i = 0; i < prefs.length(); i++) {
            if (prefs.getItemID(i) == itemID) {
              exists = true;
              prefs.setValue(i, preferenceValue);
              break;
            }
          }
        }

        if (!exists) {
          if (prefs == null) {
            prefs = new GenericUserPreferenceArray(1);
          } else {
            PreferenceArray newPrefs = new GenericUserPreferenceArray(prefs.length() + 1);
            for (int i = 0, j = 1; i < prefs.length(); i++, j++) {
              newPrefs.set(j, prefs.get(i));
            }
            prefs = newPrefs;
          }
          prefs.setUserID(0, userID);
          prefs.setItemID(0, itemID);
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    private int countPreferences(DataModel dataModel) throws TasteException {
      int numPreferences = 0;
      LongPrimitiveIterator userIDs = dataModel.getUserIDs();
      while (userIDs.hasNext()) {
        PreferenceArray preferencesFromUser = dataModel.getPreferencesFromUser(userIDs.nextLong());
        numPreferences += preferencesFromUser.length();
      }
      return numPreferences;
    }
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      LongPrimitiveIterator userIDs = dataModel.getUserIDs();
      int index = 0;
      while (userIDs.hasNext()) {
        long userID = userIDs.nextLong();
        PreferenceArray preferencesFromUser = dataModel.getPreferencesFromUser(userID);
        for (Preference preference : preferencesFromUser) {
          preferences[index++] = preference;
        }
      }
    }
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  public PreferenceArray getPreferencesForItem(long itemID) throws TasteException {
    if (tempPrefs.isEmpty()) {
      return getDelegate().getPreferencesForItem(itemID);
    }

    PreferenceArray delegatePrefs = null;

    try {
      delegatePrefs = getDelegate().getPreferencesForItem(itemID);
    } catch (NoSuchItemException nsie) {
      // OK. Probably an item that only the anonymous user has
      if (log.isDebugEnabled()) {
        log.debug("Item {} unknown", itemID);
      }
    }

    List<Preference> anonymousPreferences = Lists.newArrayList();

    for (Map.Entry<Long, PreferenceArray> prefsMap : tempPrefs.entrySet()) {
      PreferenceArray singleUserTempPrefs = prefsMap.getValue();
      for (int i = 0; i < singleUserTempPrefs.length(); i++) {
        if (singleUserTempPrefs.getItemID(i) == itemID) {
          anonymousPreferences.add(singleUserTempPrefs.get(i));
        }
      }
    }

    int delegateLength = delegatePrefs == null ? 0 : delegatePrefs.length();
    int anonymousPrefsLength = anonymousPreferences.size();
    int prefsCounter = 0;

    // Merge the delegate and anonymous preferences into a single array
    PreferenceArray newPreferenceArray = new GenericItemPreferenceArray(delegateLength + anonymousPrefsLength);

    for (int i = 0; i < delegateLength; i++) {
      newPreferenceArray.set(prefsCounter++, delegatePrefs.get(i));
    }

    for (Preference anonymousPreference : anonymousPreferences) {
      newPreferenceArray.set(prefsCounter++, anonymousPreference);
    }

    if (newPreferenceArray.length() == 0) {
      // No, didn't find it among the anonymous user prefs
      throw new NoSuchItemException(itemID);
    }

    return newPreferenceArray;
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  }

  @Override
  public Float getPreferenceValue(long userID, long itemID) throws TasteException {
    if (isAnonymousUser(userID)) {
      PreferenceArray singleUserTempPrefs = tempPrefs.get(userID);
      for (int i = 0; i < singleUserTempPrefs.length(); i++) {
        if (singleUserTempPrefs.getItemID(i) == itemID) {
          return singleUserTempPrefs.getValue(i);
        }
      }
      return null;
    }
    return getDelegate().getPreferenceValue(userID, itemID);
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  @Override
  public List<RecommendedItem> recommend(long userID, int howMany, IDRescorer rescorer) throws TasteException {
    Preconditions.checkArgument(howMany >= 1, "howMany must be at least 1");
    log.debug("Recommending items for user ID '{}'", userID);

    PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID);
    if (preferencesFromUser.length() == 0) {
      return Collections.emptyList();
    }

    FastIDSet possibleItemIDs = getAllOtherItems(userID, preferencesFromUser);
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    return topItems;
  }
 
  @Override
  public float estimatePreference(long userID, long itemID) throws TasteException {
    PreferenceArray preferencesFromUser = getDataModel().getPreferencesFromUser(userID);
    Float actualPref = getPreferenceForItem(preferencesFromUser, itemID);
    if (actualPref != null) {
      return actualPref;
    }
    return doEstimatePreference(userID, preferencesFromUser, itemID);
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