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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.itemToItem.neighbors;

import cf4j.Kernel;
import cf4j.TestItem;
import cf4j.TestItemsPartible;
import cf4j.utils.Methods;

/**
 * 

This class calculates the neighbors of each test item. It saves in every test item map * the key "neighbors" which references an array of integers containing the indexes of * the items that are neighbors of the test item.

* *

Similarities between test items must be computed before the usage of this class.

* * @author Fernando Ortega */ public class Neighbors implements TestItemsPartible { /** * Number of neighbors to be calculated */ int k; /** * Class constructor * @param k Number of neighbors to calculate */ public Neighbors (int k) { this.k = k; } @Override public void beforeRun() { } @Override public void run (int testItemIndex) { TestItem testItem = Kernel.gi().getTestItems()[testItemIndex]; double [] similarities = testItem.getSimilarities(); int [] neighbors = Methods.findTopN(similarities, this.k); testItem.setNeighbors(neighbors); } @Override public void afterRun() { } }




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