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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.
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package cf4j.knn.userToUser.similarities;
import cf4j.TestUser;
import cf4j.User;
/**
* Implements traditional Sepearman Rank as CF similarity metric.
*
* @author Fernando Ortega
*/
public class MetricSpearmanRank extends UsersSimilarities{
@Override
public double similarity (TestUser activeUser, User targetUser) {
int i = 0, j = 0, common = 0;
double num = 0d;
while (i < activeUser.getNumberOfRatings() && j < targetUser.getNumberOfRatings()) {
if (activeUser.getItems()[i] < targetUser.getItems()[j]) {
i++;
} else if (activeUser.getItems()[i] > targetUser.getItems()[j]) {
j++;
} else {
double diff = activeUser.getRatings()[i] - targetUser.getRatings()[j];
num += diff * diff;
common++;
i++;
j++;
}
}
// If there is not items in common, similarity does not exists
if (common == 0) return Double.NEGATIVE_INFINITY;
// Return similarity
return 1d - ((6d * num) / (common * ((common * common) - 1d)));
}
}
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