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OpenCms is an enterprise-ready, easy to use website content management system based on Java and XML technology. Offering a complete set of features, OpenCms helps content managers worldwide to create and maintain beautiful websites fast and efficiently.

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/*
 * This library is part of OpenCms -
 * the Open Source Content Management System
 *
 * Copyright (c) Alkacon Software GmbH & Co. KG (http://www.alkacon.com)
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
 * Lesser General Public License for more details.
 *
 * For further information about Alkacon Software GmbH & Co. KG, please see the
 * company website: http://www.alkacon.com
 *
 * For further information about OpenCms, please see the
 * project website: http://www.opencms.org
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

package org.opencms.search;

import org.opencms.search.fields.CmsSearchField;

import org.apache.lucene.index.FieldInvertState;
import org.apache.lucene.search.CollectionStatistics;
import org.apache.lucene.search.TermStatistics;
import org.apache.lucene.search.similarities.BM25Similarity;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.util.SmallFloat;

/**
 * Reduces the importance of the {@link #computeNorm(FieldInvertState)} factor
 * for the {@link org.opencms.search.fields.CmsLuceneField#FIELD_CONTENT} field, while
 * keeping the Lucene default for all other fields.

* * This implementation was added since apparently the default length norm is heavily biased * for small documents. In the default, even if a term is found in 2 documents the same number of * times, the smaller document (containing less terms) will have a score easily 3x as high as * the longer document. Using this implementation the importance of the term number is reduced.

* * Inspired by Chuck Williams WikipediaSimilarity.

* * @since 6.0.0 */ public class CmsSearchSimilarity extends Similarity { /** Logarithm base 10 used as factor in the score calculations. */ private static final double LOG10 = Math.log(10.0); /** Similarity implementation the CmsSearchSimilarity is based on. */ private final BM25Similarity m_bm25Sim = new BM25Similarity(); /** * Creates a new instance of the OpenCms search similarity.

*/ public CmsSearchSimilarity() { } /** * Special implementation for "compute norm" to reduce the significance of this factor * for the {@link org.opencms.search.fields.CmsLuceneField#FIELD_CONTENT} field, while * keeping the Lucene default for all other fields.

*/ @Override public final long computeNorm(FieldInvertState state) { final int numTerms = m_bm25Sim.getDiscountOverlaps() ? state.getLength() - state.getNumOverlap() : state.getLength(); if (state.getIndexCreatedVersionMajor() >= 7) { return SmallFloat.intToByte4(numTerms); } else { return SmallFloat.floatToByte315(lengthNorm(state, numTerms)); } } /** * Returns true iff overlap tokens are discounted from the document's length. * * @return true iff overlap tokens are discounted from the document's length. * * @see #setDiscountOverlaps(boolean) */ public boolean getDiscountOverlaps() { return m_bm25Sim.getDiscountOverlaps(); } /** * @see org.apache.lucene.search.similarities.Similarity#scorer(float, org.apache.lucene.search.CollectionStatistics, org.apache.lucene.search.TermStatistics[]) */ @Override public SimScorer scorer(float boost, CollectionStatistics collectionStats, TermStatistics... termStats) { return m_bm25Sim.scorer(boost, collectionStats, termStats); } /** * Special implementation for "compute norm" to reduce the significance of this factor * for the {@link org.opencms.search.fields.CmsLuceneField#FIELD_CONTENT} field, while * keeping the Lucene default for all other fields.

* * @param state field invert state * @param numTerms number of terms * * @return the norm as specifically created for OpenCms. * */ private float lengthNorm(FieldInvertState state, int numTerms) { if (state.getName().equals(CmsSearchField.FIELD_CONTENT)) { numTerms = state.getLength() - state.getNumOverlap(); // special length norm for content return (float)(3.0 / (Math.log(1000 + numTerms) / LOG10)); } // all other fields use the default Lucene implementation return (float)(1 / Math.sqrt(numTerms)); } }





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