xml - 基于文档值分布的 Solr 功能

问题描述

我今天正在尝试重新排列查询。

我的 features.json 看起来像这样：

    [  
    {
        "name" : "documentRecency",
        "class" : "org.apache.solr.ltr.feature.SolrFeature",
        "params" : {
          "q" : "{!func}recip( ms(NOW,timestamp), 3.16e-11, 1, 1)"
        }
      },
      {
        "name" : "textLengthScore",
        "class" : "org.apache.solr.ltr.feature.SolrFeature",
        "params" : {
          "q" : "{!func}recip(rord(scale(textLength, 0, 1)), 1,1000,1000)"
        }
      },
      {
        "name" : "numCategoriesScore",
        "class" : "org.apache.solr.ltr.feature.SolrFeature",
        "params" : {
          "q" : "{!func}recip(rord(scale(numCategories, 0, 1)), 1,1000,1000)"
        }
      },
      {
        "name" : "numSectionsScore",
        "class" : "org.apache.solr.ltr.feature.SolrFeature",
        "params" : {
          "q" : "{!func}recip( rord(scale(numSections, 0, 1)), 1,1000,1000)"
        }
      },
      {
        "name" : "numLinksScore",
        "class" : "org.apache.solr.ltr.feature.SolrFeature",
        "params" : {
          "q" : "{!func}recip( rord(scale(numLinks, 0, 1)), 1,1000,1000)"
        }
      },
      {
        "name" : "originalScore",
        "class" : "org.apache.solr.ltr.feature.OriginalScoreFeature",
        "params" : {}
      }
    ]

我的 model.json 看起来像这样：

    {
      "class" : "org.apache.solr.ltr.model.LinearModel",
      "name" : "myModel",
      "features" : [
        { "name" : "documentRecency" },
        { "name" : "textLengthScore" },
        { "name" : "numCategoriesScore" },
        { "name" : "numSectionsScore" },
        { "name" : "numLinksScore" },
        { "name" : "originalScore" }
      ],
      "params" : {
        "weights" : {
          "documentRecency" : 0.2,
          "textLengthScore" : 0.5,
          "numCategoriesScore" : 0.3,
          "numSectionsScore": 0.6,
          "numLinksScore" : 0.4,
          "originalScore" : 0.3
        }
      }
    }

重新排列我的结果时，我收到以下错误：

"java.lang.RuntimeException: Exception from createWeight for SolrFeature [name=textLengthScore, params={q={!func}recip(rord(scale(textLength, 0, 1)), 1,1000,1000)}] Failed to parse feature query."

这个查询有什么问题？我试图通过从 0,1 缩放所有 textLengths 来获得“textLengthScore”，然后像在 documentRecency 中所做的那样对它们进行评分。

哦，是的，这是 schema.xml：

<?xml version="1.0" encoding="UTF-8"?>
<schema name="sem" version="1.6">
  <uniqueKey>id</uniqueKey>
  <fieldType name="string" class="solr.StrField"/>
  <fieldType name="longstring" class="solr.TextField">
    <analyzer type="query">
      <tokenizer class="solr.StandardTokenizerFactory"/>
      <filter class="solr.LowerCaseFilterFactory"/>
      <filter class="solr.SnowballPorterFilterFactory" language="English"/>
      <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true" tokenizerFactory="solr.StandardTokenizerFactory"/>
    </analyzer>
    <similarity class="solr.ClassicSimilarityFactory"/>
  </fieldType>
  <fieldType name="tstamp" class="solr.DatePointField"/>
  <fieldType name="number" class="solr.TrieIntField" precisionStep="0" docValues="true"/>
  <field name="id" type="string" indexed="true" required="true" stored="true"/>
  <field name="title" type="longstring" indexed="true" required="true" stored="true"/>
  <field name="timestamp" type="tstamp" indexed="true" required="true" stored="true"/>
  <field name="categories" type="longstring" indexed="true" multiValued="true" stored="true"/>
  <field name="text" type="longstring" indexed="true" multiValued="true" stored="true"/>
  <field name="fullText" type="longstring" indexed="true" stored="true"/>
  <field name="links" type="longstring" indexed="true" multiValued="true" stored="true"/>
  <field name="textLength" type="number" indexed="true" stored="true"/>
  <field name="numCategories" type="number" indexed="true" stored="true"/>
  <field name="numLinks" type="number" indexed="true" stored="true"/>
  <field name="numSections" type="number" indexed="true" stored="true"/>
</schema>

标签： xmlsolrrankingranking-functions

xml - 基于文档值分布的 Solr 功能

问题描述

解决方案

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