org.apache.lucene.search.similarities.ClassicSimilarity Maven / Gradle / Ivy

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.lucene.search.similarities;


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

/**
 * Expert: Historical scoring implementation. You might want to consider using
 * {@link BM25Similarity} instead, which is generally considered superior to
 * TF-IDF.
 */
public class ClassicSimilarity extends TFIDFSimilarity {

  /** Sole constructor: parameter-free */
  public ClassicSimilarity() {}

  /** Implemented as
   *  1/sqrt(length).
   *
   *  @lucene.experimental */
  @Override
  public float lengthNorm(int numTerms) {
    return (float) (1.0 / Math.sqrt(numTerms));
  }

  /** Implemented as sqrt(freq). */
  @Override
  public float tf(float freq) {
    return (float)Math.sqrt(freq);
  }
  
  @Override
  public Explanation idfExplain(CollectionStatistics collectionStats, TermStatistics termStats) {
    final long df = termStats.docFreq();
    final long docCount = collectionStats.docCount();
    final float idf = idf(df, docCount);
    return Explanation.match(idf, "idf, computed as log((docCount+1)/(docFreq+1)) + 1 from:",
        Explanation.match(df, "docFreq, number of documents containing term"),
        Explanation.match(docCount, "docCount, total number of documents with field"));
  }

  /** Implemented as log((docCount+1)/(docFreq+1)) + 1. */
  @Override
  public float idf(long docFreq, long docCount) {
    return (float)(Math.log((docCount+1)/(double)(docFreq+1)) + 1.0);
  }

  @Override
  public String toString() {
    return "ClassicSimilarity";
  }
}