mirror of https://github.com/apache/lucene.git
LUCENE-3566: parameterize H1 and H2
git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/trunk@1239680 13f79535-47bb-0310-9956-ffa450edef68
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@ -19,9 +19,25 @@ package org.apache.lucene.search.similarities;
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/**
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* Normalization model that assumes a uniform distribution of the term frequency.
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* <p>While this model is parameterless in the
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* <a href="http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.742">
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* original article</a>, <a href="http://dl.acm.org/citation.cfm?id=1835490">
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* information-based models</a> (see {@link IBSimilarity}) introduced a
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* multiplying factor.
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* The default value for the {@code c} parameter is {@code 1}.</p>
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* @lucene.experimental
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*/
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public class NormalizationH1 extends Normalization {
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private final float c;
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public NormalizationH1(float c) {
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this.c = c;
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}
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public NormalizationH1() {
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this(1);
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}
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@Override
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public final float tfn(BasicStats stats, float tf, float len) {
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return tf * stats.getAvgFieldLength() / len;
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@ -31,4 +47,8 @@ public class NormalizationH1 extends Normalization {
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public String toString() {
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return "1";
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}
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public float getC() {
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return c;
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}
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}
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@ -22,16 +22,35 @@ import static org.apache.lucene.search.similarities.SimilarityBase.log2;
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/**
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* Normalization model in which the term frequency is inversely related to the
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* length.
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* <p>While this model is parameterless in the
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* <a href="http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.742">
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* original article</a>, the <a href="http://theses.gla.ac.uk/1570/">thesis</a>
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* introduces the parameterized variant.
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* The default value for the {@code c} parameter is {@code 1}.</p>
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* @lucene.experimental
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*/
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public class NormalizationH2 extends Normalization {
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private final float c;
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public NormalizationH2(float c) {
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this.c = c;
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}
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public NormalizationH2() {
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this(1);
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}
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@Override
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public final float tfn(BasicStats stats, float tf, float len) {
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return (float)(tf * log2(1 + stats.getAvgFieldLength() / len));
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return (float)(tf * log2(1 + c * stats.getAvgFieldLength() / len));
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}
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@Override
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public String toString() {
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return "2";
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}
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public float getC() {
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return c;
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}
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}
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@ -70,8 +70,18 @@ import org.apache.solr.schema.SimilarityFactory;
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* <ul>
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* <li>{@link NormalizationH1 H1}: Uniform distribution of term
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* frequency
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* <ul>
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* <li>parameter c (float): hyper-parameter that controls
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* the term frequency normalization with respect to the
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* document length. The default is <code>1</code>
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* </ul>
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* <li>{@link NormalizationH2 H2}: term frequency density inversely
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* related to length
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* <ul>
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* <li>parameter c (float): hyper-parameter that controls
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* the term frequency normalization with respect to the
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* document length. The default is <code>1</code>
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* </ul>
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* <li>{@link NormalizationH3 H3}: term frequency normalization
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* provided by Dirichlet prior
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* <ul>
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@ -110,7 +120,7 @@ public class DFRSimilarityFactory extends SimilarityFactory {
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basicModel = parseBasicModel(params.get("basicModel"));
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afterEffect = parseAfterEffect(params.get("afterEffect"));
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normalization = parseNormalization(
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params.get("normalization"), params.get("mu"), params.get("z"));
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params.get("normalization"), params.get("c"), params.get("mu"), params.get("z"));
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}
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private BasicModel parseBasicModel(String expr) {
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@ -146,11 +156,7 @@ public class DFRSimilarityFactory extends SimilarityFactory {
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}
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// also used by IBSimilarityFactory
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static Normalization parseNormalization(String expr, String mu, String z) {
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if (mu != null && z != null) {
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throw new RuntimeException(
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"specifying mu and z make no sense for: " + expr);
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}
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static Normalization parseNormalization(String expr, String c, String mu, String z) {
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if (mu != null && !"H3".equals(expr)) {
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throw new RuntimeException(
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"parameter mu only makes sense for normalization H3");
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@ -159,11 +165,16 @@ public class DFRSimilarityFactory extends SimilarityFactory {
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throw new RuntimeException(
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"parameter z only makes sense for normalization Z");
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}
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if (c != null && !("H1".equals(expr) || "H2".equals(expr))) {
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throw new RuntimeException(
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"parameter c only makese sense for normalizations H1 and H2");
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}
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if ("H1".equals(expr)) {
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return new NormalizationH1();
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return (c != null) ? new NormalizationH1(Float.parseFloat(c))
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: new NormalizationH1();
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} else if ("H2".equals(expr)) {
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return new NormalizationH2();
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return (c != null) ? new NormalizationH2(Float.parseFloat(c))
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: new NormalizationH2();
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} else if ("H3".equals(expr)) {
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return (mu != null) ? new NormalizationH3(Float.parseFloat(mu))
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: new NormalizationH3();
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@ -79,7 +79,7 @@ public class IBSimilarityFactory extends SimilarityFactory {
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distribution = parseDistribution(params.get("distribution"));
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lambda = parseLambda(params.get("lambda"));
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normalization = DFRSimilarityFactory.parseNormalization(
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params.get("normalization"), params.get("mu"), params.get("z"));
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params.get("normalization"), params.get("c"), params.get("mu"), params.get("z"));
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}
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private Distribution parseDistribution(String expr) {
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@ -43,12 +43,24 @@
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</similarity>
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</fieldType>
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<!-- with parameter C -->
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<fieldType name="text_paramc" class="solr.TextField">
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<analyzer class="org.apache.lucene.analysis.standard.StandardAnalyzer"/>
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<similarity class="solr.DFRSimilarityFactory">
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<str name="basicModel">P</str>
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<str name="afterEffect">L</str>
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<str name="normalization">H2</str>
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<float name="c">7</float>
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</similarity>
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</fieldType>
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</types>
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<fields>
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<field name="id" type="int" indexed="true" stored="true" multiValued="false" required="false"/>
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<field name="text" type="text" indexed="true" stored="false"/>
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<field name="text_params" type="text_params" indexed="true" stored="false"/>
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<field name="text_paramc" type="text_paramc" indexed="true" stored="false"/>
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</fields>
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<defaultSearchField>text</defaultSearchField>
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@ -18,7 +18,9 @@ package org.apache.solr.search.similarities;
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*/
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import org.apache.lucene.search.similarities.AfterEffectB;
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import org.apache.lucene.search.similarities.AfterEffectL;
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import org.apache.lucene.search.similarities.BasicModelIF;
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import org.apache.lucene.search.similarities.BasicModelP;
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import org.apache.lucene.search.similarities.DFRSimilarity;
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import org.apache.lucene.search.similarities.NormalizationH2;
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import org.apache.lucene.search.similarities.NormalizationH3;
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@ -55,4 +57,16 @@ public class TestDFRSimilarityFactory extends BaseSimilarityTestCase {
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NormalizationH3 norm = (NormalizationH3) dfr.getNormalization();
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assertEquals(900f, norm.getMu(), 0.01f);
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}
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/** LUCENE-3566 */
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public void testParameterC() throws Exception {
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Similarity sim = getSimilarity("text_paramc");
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assertEquals(DFRSimilarity.class, sim.getClass());
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DFRSimilarity dfr = (DFRSimilarity) sim;
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assertEquals(BasicModelP.class, dfr.getBasicModel().getClass());
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assertEquals(AfterEffectL.class, dfr.getAfterEffect().getClass());
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assertEquals(NormalizationH2.class, dfr.getNormalization().getClass());
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NormalizationH2 norm = (NormalizationH2) dfr.getNormalization();
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assertEquals(7f, norm.getC(), 0.01f);
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}
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}
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