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/*
 * COPIED FROM APACHE LUCENE 4.7.2
 *
 * Git URL: [email protected]:apache/lucene.git, tag: releases/lucene-solr/4.7.2, path: lucene/core/src/java
 *
 * (see https://issues.apache.org/jira/browse/OAK-10786 for details)
 */

package org.apache.lucene.search.similarities;

/*
 * 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.
 */

import java.util.Locale;

import org.apache.lucene.search.Explanation;

/**
 * Language model based on the Jelinek-Mercer smoothing method. From Chengxiang
 * Zhai and John Lafferty. 2001. A study of smoothing methods for language
 * models applied to Ad Hoc information retrieval. In Proceedings of the 24th
 * annual international ACM SIGIR conference on Research and development in
 * information retrieval (SIGIR '01). ACM, New York, NY, USA, 334-342.
 * 

The model has a single parameter, λ. According to said paper, the * optimal value depends on both the collection and the query. The optimal value * is around {@code 0.1} for title queries and {@code 0.7} for long queries.

* * @lucene.experimental */ public class LMJelinekMercerSimilarity extends LMSimilarity { /** The λ parameter. */ private final float lambda; /** Instantiates with the specified collectionModel and λ parameter. */ public LMJelinekMercerSimilarity( CollectionModel collectionModel, float lambda) { super(collectionModel); this.lambda = lambda; } /** Instantiates with the specified λ parameter. */ public LMJelinekMercerSimilarity(float lambda) { this.lambda = lambda; } @Override protected float score(BasicStats stats, float freq, float docLen) { return stats.getTotalBoost() * (float)Math.log(1 + ((1 - lambda) * freq / docLen) / (lambda * ((LMStats)stats).getCollectionProbability())); } @Override protected void explain(Explanation expl, BasicStats stats, int doc, float freq, float docLen) { if (stats.getTotalBoost() != 1.0f) { expl.addDetail(new Explanation(stats.getTotalBoost(), "boost")); } expl.addDetail(new Explanation(lambda, "lambda")); super.explain(expl, stats, doc, freq, docLen); } /** Returns the λ parameter. */ public float getLambda() { return lambda; } @Override public String getName() { return String.format(Locale.ROOT, "Jelinek-Mercer(%f)", getLambda()); } }




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