/** Constructs and returns a {@link HIRModel}. */
@Override
public HIRModel get() {
LongSet items = buildContext.getItems();
LongIterator outer = items.iterator();
while (outer.hasNext()) {
final long item1 = outer.nextLong();
final SparseVector vec1 = buildContext.itemVector(item1);
LongIterator inner = items.iterator();
while (inner.hasNext()) {
final long item2 = inner.nextLong();
SparseVector vec2 = buildContext.itemVector(item2);
DAMatrix.putItemPair(item1, vec1, item2, vec2);
}
}
return new HIRModel(
DAMatrix.buildMatrix(), RSMatrix.RowStochastic(), TFMatrix.ColumnStochastic());
}
/**
* Creates a matrix to process genre data and generate the first factor of the proximity matrix
* needed for a {@code HIRItemScorer}.
*
* @param dao The DataAccessObject interfacing with the item data for the model
* @param gDao The genreDataAccessObject interfacing with the genre data for the model
*/
public RowStochasticFactorOfProximity(ItemDAO dao, ItemGenreDAO gDao) {
LongSet items = dao.getItemIds();
int genreSize = gDao.getGenreSize();
itemSize = items.size();
double[][] data = new double[itemSize][genreSize];
rowStochastic = MatrixUtils.createRealMatrix(data);
int i = 0;
LongIterator iter = items.iterator();
while (iter.hasNext()) {
long item = iter.nextLong();
rowStochastic.setRowVector(i, gDao.getItemGenre(item));
i++;
}
}
/**
* Creates a new tree set using elements provided by a type-specific iterator.
*
* @param i a type-specific iterator whose elements will fill the set.
*/
public LongAVLTreeSet(final LongIterator i) {
while (i.hasNext()) add(i.nextLong());
}