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 * this work for additional information regarding copyright ownership.
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 * (the "License"); you may not use this file except in compliance with
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 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.lucene.search.similarities;


import java.util.ArrayList;
import java.util.List;

import org.apache.lucene.index.FieldInvertState;
import org.apache.lucene.search.CollectionStatistics;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.TermStatistics;

Implements the CombSUM method for combining evidence from multiple similarity values described in: Joseph A. Shaw, Edward A. Fox. In Text REtrieval Conference (1993), pp. 243-252
@lucene.experimental
/** * Implements the CombSUM method for combining evidence from multiple * similarity values described in: Joseph A. Shaw, Edward A. Fox. * In Text REtrieval Conference (1993), pp. 243-252 * @lucene.experimental */
public class MultiSimilarity extends Similarity {
the sub-similarities used to create the combined score
/** the sub-similarities used to create the combined score */
protected final Similarity sims[];
Creates a MultiSimilarity which will sum the scores of the provided sims.
/** Creates a MultiSimilarity which will sum the scores * of the provided <code>sims</code>. */
public MultiSimilarity(Similarity sims[]) { this.sims = sims; } @Override public long computeNorm(FieldInvertState state) { return sims[0].computeNorm(state); } @Override public SimScorer scorer(float boost, CollectionStatistics collectionStats, TermStatistics... termStats) { SimScorer subScorers[] = new SimScorer[sims.length]; for (int i = 0; i < subScorers.length; i++) { subScorers[i] = sims[i].scorer(boost, collectionStats, termStats); } return new MultiSimScorer(subScorers); } static class MultiSimScorer extends SimScorer { private final SimScorer subScorers[]; MultiSimScorer(SimScorer subScorers[]) { this.subScorers = subScorers; } @Override public float score(float freq, long norm) { float sum = 0.0f; for (SimScorer subScorer : subScorers) { sum += subScorer.score(freq, norm); } return sum; } @Override public Explanation explain(Explanation freq, long norm) { List<Explanation> subs = new ArrayList<>(); for (SimScorer subScorer : subScorers) { subs.add(subScorer.explain(freq, norm)); } return Explanation.match(score(freq.getValue().floatValue(), norm), "sum of:", subs); } } }