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);
}
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);
}
}