}
// Denormalize and return the results
SparseVector urv = RatingVectorUserHistorySummarizer.makeRatingVector(history);
VectorTransformation vo = normalizer.makeTransformation(history.getUserId(), urv);
vo.unapply(scores);
}
/**
* Find the neighbors for a user with respect to a collection of items.
* For each item, the {@var neighborhoodSize} users closest to the