SocialRec.UserAgent.java Source code

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Here is the source code for SocialRec.UserAgent.java

Source

/*
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package SocialRec;

import static SocialRec.Spearman.SC;
import static SocialRec.Spearman.toDoubleArray;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.commons.math3.stat.correlation.SpearmansCorrelation;

/**
 *
 * @author SocialRec
 */
public class UserAgent extends Agent {
    private AgentPref pref;

    public static Map userAgentUtilityFunction(Map recommendedItems) {
        List<String> utilityValues = new ArrayList<>();
        Map idPersoanlUtilityValue = new HashMap();

        for (int i = 0; i < recommendedItems.size(); i++) {
            //personal
            Double vPersonalValue = Double.parseDouble((String) recommendedItems.get(i));
            Double vId = Double.parseDouble((String) recommendedItems.getOrDefault(i, vPersonalValue));
            Double vReward = Double.parseDouble((String) recommendedItems.getOrDefault(i, vPersonalValue));
            //calculate personal and reward 
            Double utilityValueReward = vPersonalValue + vReward;
            //add to persoanl list and map with id
            utilityValues.add(String.valueOf(utilityValueReward));
            idPersoanlUtilityValue.put(vId, utilityValueReward);
        }
        return idPersoanlUtilityValue;

    }

    public static Integer changeStatus(Double cor) {
        double statusThreshold = 0.6;
        int agentStatus = 1;
        if (cor > statusThreshold) {
            agentStatus = 1;

        } else {
            agentStatus = 0;
        }
        return agentStatus;
    }

    public static Double calculateRankCo(List<Double> X, List<Double> Y) {
        SpearmansCorrelation SC = new SpearmansCorrelation();
        double[] xArray = toDoubleArray(X);
        double[] yArray = toDoubleArray(Y);
        double corr = SC.correlation(xArray, yArray);

        return corr;
    }
}