mirror of https://github.com/apache/lucene.git
[SOLR-15015] added support to parametric Interleaving algorithm + tests (#2096)
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@ -183,6 +183,8 @@ Improvements
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* SOLR-14977 : ContainerPlugins should be configurable with custom objects (noble, ab)
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* SOLR-15015 : Add interleaving algorithm parameter support in Learning To Rank (Alessandro Benedetti)
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Optimizations
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---------------------
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* SOLR-14975: Optimize CoreContainer.getAllCoreNames, getLoadedCoreNames and getCoreDescriptors. (Bruno Roustant)
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@ -18,6 +18,7 @@
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package org.apache.solr.ltr.interleaving;
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import org.apache.lucene.search.ScoreDoc;
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import org.apache.solr.common.SolrException;
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import org.apache.solr.ltr.interleaving.algorithms.TeamDraftInterleaving;
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/**
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@ -36,8 +37,10 @@ public interface Interleaving {
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static Interleaving getImplementation(String algorithm) {
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switch(algorithm) {
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case TEAM_DRAFT:
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default:
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return new TeamDraftInterleaving();
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default:
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throw new SolrException(SolrException.ErrorCode.BAD_REQUEST,
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"Unknown Interleaving algorithm: " + algorithm);
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}
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}
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}
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@ -78,6 +78,13 @@ public class LTRQParserPlugin extends QParserPlugin implements ResourceLoaderAwa
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**/
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public static final String RERANK_DOCS = "reRankDocs";
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/** query parser plugin: default interleaving algorithm **/
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public static final String DEFAULT_INTERLEAVING_ALGORITHM = Interleaving.TEAM_DRAFT;
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/** query parser plugin:the param that selects the interleaving algorithm to use **/
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public static final String INTERLEAVING_ALGORITHM = "interleavingAlgorithm";
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@Override
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@SuppressWarnings({"unchecked"})
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public void init(@SuppressWarnings("rawtypes") NamedList args) {
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@ -209,8 +216,9 @@ public class LTRQParserPlugin extends QParserPlugin implements ResourceLoaderAwa
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SolrQueryRequestContextUtils.setScoringQueries(req, new LTRScoringQuery[] { rerankingQuery });
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return new LTRQuery(rerankingQuery, reRankDocs);
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} else {
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String interleavingAlgorithm = localParams.get(INTERLEAVING_ALGORITHM, DEFAULT_INTERLEAVING_ALGORITHM);
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SolrQueryRequestContextUtils.setScoringQueries(req, rerankingQueries);
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return new LTRInterleavingQuery(Interleaving.getImplementation(Interleaving.TEAM_DRAFT),rerankingQueries, reRankDocs);
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return new LTRInterleavingQuery(Interleaving.getImplementation(interleavingAlgorithm), rerankingQueries, reRankDocs);
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}
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}
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}
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@ -51,20 +51,6 @@ public class TestLTRQParserPlugin extends TestRerankBase {
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assert (res.contains("Must provide one or two models in the request"));
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}
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@Test
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public void interleavingLtrTooManyModelsTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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final SolrQuery query = new SolrQuery();
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query.setQuery(solrQuery);
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query.add("fl", "*, score");
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query.add("rows", "4");
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query.add("fv", "true");
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query.add("rq", "{!ltr model=modelA model=modelB model=C reRankDocs=100}");
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final String res = restTestHarness.query("/query" + query.toQueryString());
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assert (res.contains("Must provide one or two models in the request"));
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}
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@Test
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public void ltrModelIdDoesNotExistTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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@ -93,20 +79,6 @@ public class TestLTRQParserPlugin extends TestRerankBase {
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assert (res.contains("the model 0 is empty"));
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}
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@Test
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public void interleavingLtrModelIsEmptyTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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final SolrQuery query = new SolrQuery();
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query.setQuery(solrQuery);
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query.add("fl", "*, score");
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query.add("rows", "4");
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query.add("fv", "true");
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query.add("rq", "{!ltr model=6029760550880411648 model=\"\" reRankDocs=100}");
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final String res = restTestHarness.query("/query" + query.toQueryString());
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assert (res.contains("the model 1 is empty"));
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}
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@Test
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public void ltrBadRerankDocsTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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@ -0,0 +1,206 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.solr.ltr.interleaving;
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import java.util.Random;
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import org.apache.solr.client.solrj.SolrQuery;
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import org.apache.solr.ltr.TestRerankBase;
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import org.apache.solr.ltr.feature.SolrFeature;
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import org.apache.solr.ltr.interleaving.algorithms.TeamDraftInterleaving;
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import org.apache.solr.ltr.model.LinearModel;
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import org.junit.After;
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import org.junit.Before;
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import org.junit.Test;
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public class TestLTRQParserInterleaving extends TestRerankBase {
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@Before
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public void before() throws Exception {
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setuptest(false);
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assertU(adoc("id", "1", "title", "w1", "description", "w5", "popularity",
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"1"));
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assertU(adoc("id", "2", "title", "w2 2asd asdd didid", "description",
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"w2 2asd asdd didid", "popularity", "2"));
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assertU(adoc("id", "3", "title", "w1", "description", "w5", "popularity",
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"3"));
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assertU(adoc("id", "4", "title", "w1", "description", "w1", "popularity",
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"6"));
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assertU(adoc("id", "5", "title", "w5", "description", "w5", "popularity",
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"5"));
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assertU(adoc("id", "6", "title", "w6 w2", "description", "w1 w2",
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"popularity", "6"));
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assertU(adoc("id", "7", "title", "w1 w2 w3 w4 w5", "description",
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"w6 w2 w3 w4 w5 w8", "popularity", "88888"));
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assertU(adoc("id", "8", "title", "w1 w1 w1 w2 w2 w8", "description",
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"w1 w1 w1 w2 w2 w5", "popularity", "88888"));
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assertU(commit());
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loadFeaturesAndModelsForInterleaving();
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}
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@After
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public void after() throws Exception {
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aftertest();
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}
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protected void loadFeaturesAndModelsForInterleaving() throws Exception {
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loadFeature("featureA1", SolrFeature.class.getName(),
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"{\"fq\":[\"{!terms f=popularity}88888\"]}");
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loadFeature("featureA2", SolrFeature.class.getName(),
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"{\"fq\":[\"{!terms f=title}${user_query}\"]}");
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loadFeature("featureAB", SolrFeature.class.getName(),
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"{\"fq\":[\"{!terms f=title}${user_query}\"]}");
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loadFeature("featureB1", SolrFeature.class.getName(),
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"{\"fq\":[\"{!terms f=popularity}6\"]}");
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loadFeature("featureB2", SolrFeature.class.getName(),
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"{\"fq\":[\"{!terms f=description}${user_query}\"]}");
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loadFeature("featureC1", SolrFeature.class.getName(),"featureStore2",
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"{\"fq\":[\"{!terms f=popularity}6\"]}");
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loadFeature("featureC2", SolrFeature.class.getName(),"featureStore2",
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"{\"fq\":[\"{!terms f=popularity}1\"]}");
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loadModel("modelA", LinearModel.class.getName(),
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new String[]{"featureA1", "featureA2", "featureAB"},
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"{\"weights\":{\"featureA1\":3.0, \"featureA2\":9.0, \"featureAB\":27.0}}");
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loadModel("modelB", LinearModel.class.getName(),
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new String[]{"featureB1", "featureB2", "featureAB"},
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"{\"weights\":{\"featureB1\":2.0, \"featureB2\":4.0, \"featureAB\":8.0}}");
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loadModel("modelC", LinearModel.class.getName(),
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new String[]{"featureC1", "featureC2"},"featureStore2",
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"{\"weights\":{\"featureC1\":5.0, \"featureC2\":25.0}}");
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}
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@Test
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public void interleavingLtrNotSupportedAlgorithmTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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final SolrQuery query = new SolrQuery();
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query.setQuery(solrQuery);
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query.add("fl", "*, score");
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query.add("rows", "4");
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query.add("fv", "true");
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query.add("rq", "{!ltr model=modelA model=modelB interleavingAlgorithm=unsupported reRankDocs=100}");
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final String res = restTestHarness.query("/query" + query.toQueryString());
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assert (res.contains("Unknown Interleaving algorithm: unsupported"));
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}
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@Test
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public void interleavingLtrTooManyModelsTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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final SolrQuery query = new SolrQuery();
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query.setQuery(solrQuery);
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query.add("fl", "*, score");
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query.add("rows", "4");
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query.add("fv", "true");
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query.add("rq", "{!ltr model=modelA model=modelB model=C reRankDocs=100}");
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final String res = restTestHarness.query("/query" + query.toQueryString());
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assert (res.contains("Must provide one or two models in the request"));
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}
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@Test
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public void interleavingLtrModelIsEmptyTest() throws Exception {
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final String solrQuery = "_query_:{!edismax qf='title' mm=100% v='bloomberg' tie=0.1}";
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final SolrQuery query = new SolrQuery();
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query.setQuery(solrQuery);
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query.add("fl", "*, score");
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query.add("rows", "4");
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query.add("fv", "true");
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query.add("rq", "{!ltr model=modelA model=\"\" reRankDocs=100}");
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final String res = restTestHarness.query("/query" + query.toQueryString());
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assert (res.contains("the model 1 is empty"));
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}
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@Test
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public void defaultAlgorithm_shouldApplyTeamDraftInterleaving() throws Exception {
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TeamDraftInterleaving.setRANDOM(new Random(10101010));//Random Boolean Choices Generation from Seed: [0,1,1]
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final SolrQuery query = new SolrQuery();
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query.setQuery("*:*");
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query.add("fl", "*, score,interleavingPick:[interleaving]");
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query.add("rows", "10");
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query.add("debugQuery", "true");
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query.add("fq", "{!terms f=title}w1"); // 1,3,4,7,8
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query.add("rq",
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"{!ltr model=modelA model=modelB reRankDocs=10 efi.user_query='w5'}");
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/*
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Doc1 = "featureB2=1.0", ScoreA(0), ScoreB(4)
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Doc3 = "featureB2=1.0", ScoreA(0), ScoreB(4)
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Doc4 = "featureB1=1.0", ScoreA(0), ScoreB(2)
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Doc7 ="featureA1=1.0,featureA2=1.0,featureAB=1.0,featureB2=1.0", ScoreA(39), ScoreB(12)
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Doc8 = "featureA1=1.0,featureB2=1.0", ScoreA(3), ScoreB(4)
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ModelARerankedList = [7,8,1,3,4]
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ModelBRerankedList = [7,1,3,8,4]
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Random Boolean Choices Generation from Seed: [0,1,1]
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*/
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String[] expectedInterleavingPicks = new String[]{"modelA", "modelB", "modelB", "modelA", "modelB"};
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int[] expectedInterleaved = new int[]{7, 1, 3, 8, 4};
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String[] tests = new String[11];
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tests[0] = "/response/numFound/==5";
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for (int i = 1; i <= 5; i++) {
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tests[i] = "/response/docs/[" + (i - 1) + "]/id==\"" + expectedInterleaved[(i - 1)] + "\"";
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tests[i + 5] = "/response/docs/[" + (i - 1) + "]/interleavingPick==" + expectedInterleavingPicks[(i - 1)];
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}
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assertJQ("/query" + query.toQueryString(), tests);
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}
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@Test
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public void teamDraftAlgorithm_shouldApplyTeamDraftInterleaving() throws Exception {
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TeamDraftInterleaving.setRANDOM(new Random(10101010));//Random Boolean Choices Generation from Seed: [0,1,1]
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final SolrQuery query = new SolrQuery();
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query.setQuery("*:*");
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query.add("fl", "*, score,interleavingPick:[interleaving]");
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query.add("rows", "10");
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query.add("debugQuery", "true");
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query.add("fq", "{!terms f=title}w1"); // 1,3,4,7,8
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query.add("rq",
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"{!ltr model=modelA model=modelB reRankDocs=10 interleavingAlgorithm=TeamDraft efi.user_query='w5'}");
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/*
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Doc1 = "featureB2=1.0", ScoreA(0), ScoreB(4)
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Doc3 = "featureB2=1.0", ScoreA(0), ScoreB(4)
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Doc4 = "featureB1=1.0", ScoreA(0), ScoreB(2)
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Doc7 ="featureA1=1.0,featureA2=1.0,featureAB=1.0,featureB2=1.0", ScoreA(39), ScoreB(12)
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Doc8 = "featureA1=1.0,featureB2=1.0", ScoreA(3), ScoreB(4)
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ModelARerankedList = [7,8,1,3,4]
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ModelBRerankedList = [7,1,3,8,4]
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Random Boolean Choices Generation from Seed: [0,1,1]
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*/
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String[] expectedInterleavingPicks = new String[]{"modelA", "modelB", "modelB", "modelA", "modelB"};
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int[] expectedInterleaved = new int[]{7, 1, 3, 8, 4};
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String[] tests = new String[11];
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tests[0] = "/response/numFound/==5";
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for (int i = 1; i <= 5; i++) {
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tests[i] = "/response/docs/[" + (i - 1) + "]/id==\"" + expectedInterleaved[(i - 1)] + "\"";
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tests[i + 5] = "/response/docs/[" + (i - 1) + "]/interleavingPick==" + expectedInterleavingPicks[(i - 1)];
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}
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assertJQ("/query" + query.toQueryString(), tests);
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}
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}
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@ -329,6 +329,14 @@ The output XML will include the model picked for each search result, resembling
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}}
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----
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=== Running a Rerank Query with Interleaving passing a specific algorithm
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To rerank the results of a query, interleaving two models using a specific algorithm, add the `interleavingAlgorithm` local parameter to the ltr query parser, for example:
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[source,text]
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http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=myModelA model=myModelB reRankDocs=100 interleavingAlgorithm=TeamDraft}&fl=id,score
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Currently the only (and default) algorithm supported is 'TeamDraft'.
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=== External Feature Information
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The {solr-javadocs}/contrib/ltr/org/apache/solr/ltr/feature/ValueFeature.html[ValueFeature] and {solr-javadocs}/contrib/ltr/org/apache/solr/ltr/feature/SolrFeature.html[SolrFeature] classes support the use of external feature information, `efi` for short.
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