public void usePredictedRatingsForContent(Method m, int userId) {
    // Store the original ratings in the map.
    Rating rec;
    content.setFixedUserId(userId);
    content.restart();
    while ((rec = (Rating) content.next()) != null) {
      int objectId = rec.getObjectId();
      double rating = rec.getRating();

      if (!usersRatings.containsKey(userId))
        usersRatings.put(userId, new HashMap<Integer, Double>());

      usersRatings.get(userId).put(objectId, rating);
    }
    // Use the ratings from the behaviour method
    content.restart();
    while ((rec = (Rating) content.next()) != null) {
      Double r = (Double) m.classifyRecord(rec);
      if (r != null) rec.setRating(r);
    }
  }
 public void useUserRatingsForContent(int userId) {
   // Use the user's ratings
   // Integer userIdDataset;
   // int current = content.getCurrentUser();
   /// content.restartUserId();
   // while( (userIdDataset= content.userId())!=null){
   //	content.setFixedUserId(userIdDataset);
   content.restart();
   // if (!content.hasNext())
   //	continue;
   Rating rec;
   while ((rec = (Rating) content.next()) != null) {
     // int userId = rec.getUserId();
     int objectId = rec.getObjectId();
     rec.setRating(usersRatings.get(userId).get(objectId));
   }
   // }
   // content.setFixedUserId(current);
 }
 @Override
 public void restart() {
   if (useBehaviour) behaviour.restart();
   else content.restart();
 }