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

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

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

org.apache.mahout.cf.taste.model.User

Implementations represent a user, who has preferences for {@link Item}s.

    List<RecommendedItem> recommended = topRecsByUserID.get(userID);
    if (recommended == null) {
      return Collections.emptyList();
    }


    User theUser = getDataModel().getUser(userID);
    List<RecommendedItem> rescored = new ArrayList<RecommendedItem>(recommended.size());
    // Only add items the user doesn't already have a preference for.
    // And that the rescorer doesn't "reject".
    for (RecommendedItem recommendedItem : recommended) {
      Item item = recommendedItem.getItem();
      if (rescorer != null && rescorer.isFiltered(item)) {
        continue;
      }
      if (theUser.getPreferenceFor(item.getID()) == null &&
          (rescorer == null || !Double.isNaN(rescorer.rescore(item, recommendedItem.getValue())))) {
        rescored.add(recommendedItem);
      }
    }
    Collections.sort(rescored, new ByRescoreComparator(rescorer));

View Full Code Here

  public double estimatePreference(Object userID, Object itemID) throws TasteException {
    if (userID == null || itemID == null) {
      throw new IllegalArgumentException("userID or itemID is null");
    }
    DataModel model = getDataModel();
    User theUser = model.getUser(userID);
    Preference actualPref = theUser.getPreferenceFor(itemID);
    if (actualPref != null) {
      return actualPref.getValue();
    }
    checkClustersBuilt();
    List<RecommendedItem> topRecsForUser = topRecsByUserID.get(userID);

View Full Code Here

      DataModel model = getDataModel();
      int numUsers = model.getNumUsers();
      if (numUsers > 0) {
        List<Collection<User>> newClusters = new ArrayList<Collection<User>>(numUsers);
        if (numUsers == 1) {
          User onlyUser = model.getUsers().iterator().next();
          newClusters.add(Collections.singleton(onlyUser));
        } else {
          // Begin with a cluster for each user:
          for (User user : model.getUsers()) {
            Collection<User> newCluster = new FastSet<User>();

View Full Code Here

      return Double.NaN;
    }


    Preference xPref = xPrefs[0];
    Preference yPref = yPrefs[0];
    User xIndex = xPref.getUser();
    User yIndex = yPref.getUser();
    int xPrefIndex = 1;
    int yPrefIndex = 1;


    double sumX = 0.0;
    double sumX2 = 0.0;

View Full Code Here

    return users;
  }


  @Override
  public User getUser(Object id) throws NoSuchUserException {
    User user = userMap.get(id);
    if (user == null) {
      throw new NoSuchUserException();
    }
    return user;
  }

View Full Code Here

      throw new IllegalArgumentException("howMany must be at least 1");
    }
    log.debug("Recommending items for user ID '{}'", userID);
    checkAverageDiffsBuilt();


    User theUser = getDataModel().getUser(userID);
    Set<Item> allItems = getAllOtherItems(theUser);


    TopItems.Estimator<Item> estimator = new Estimator();


    List<RecommendedItem> topItems = TopItems.getTopItems(howMany, allItems, rescorer, estimator);

View Full Code Here

  }


  @Override
  public double estimatePreference(Object userID, Object itemID) throws TasteException {
    DataModel model = getDataModel();
    User theUser = model.getUser(userID);
    Preference actualPref = theUser.getPreferenceFor(itemID);
    if (actualPref != null) {
      return actualPref.getValue();
    }
    checkAverageDiffsBuilt();
    return doEstimatePreference(itemID);

View Full Code Here

  @Override
  public void setPreference(Object userID, Object itemID, double value) throws TasteException {
    DataModel dataModel = getDataModel();
    double prefDelta;
    try {
      User theUser = dataModel.getUser(userID);
      Preference oldPref = theUser.getPreferenceFor(itemID);
      prefDelta = oldPref == null ? value : value - oldPref.getValue();
    } catch (NoSuchUserException nsee) {
      prefDelta = value;
    }
    super.setPreference(userID, itemID, value);

View Full Code Here

  }


  @Override
  public void removePreference(Object userID, Object itemID) throws TasteException {
    DataModel dataModel = getDataModel();
    User theUser = dataModel.getUser(userID);
    Preference oldPref = theUser.getPreferenceFor(itemID);
    super.removePreference(userID, itemID);
    if (oldPref != null) {
      try {
        buildAveragesLock.writeLock().lock();
        RunningAverage average = itemAverages.get(itemID);

View Full Code Here

      throw new IllegalArgumentException("howMany must be at least 1");
    }


    log.debug("Recommending items for user ID '{}'", userID);


    User theUser = getDataModel().getUser(userID);
    Collection<User> theNeighborhood = neighborhood.getUserNeighborhood(userID);
    log.trace("UserNeighborhood is: {}", neighborhood);


    if (theNeighborhood.isEmpty()) {
      return Collections.emptyList();

View Full Code Here

0 1 2 3 4 5 6 7 8

TOP

Related Classes of org.apache.mahout.cf.taste.model.User

org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator

org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator

org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator

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

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

org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood

org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood

org.apache.mahout.cf.taste.impl.recommender.BooleanUserGenericUserBasedRecommender

org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

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.