blocks|key|442807|text|您应该能够通过使用允许在过滤器表达式中编写全文搜索的search.ismatchscoring来实现所需的行为。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|442808|此筛选器表达式将确保skateboards位于Title中，并在Category中搜索sports以帮助评分，但由于or语句，它仍将返回其他类别的文档：|style|CODE|442809|search.ismatchscoring('skateboards',+'Title')+and+(search.ismatchscoring('sports',+'Category')+or+search.ismatchscoring('*'))|442810|entityMap|0|LINK|mutability|MUTABLE|url|https://learn.microsoft.com/en-us/azure/search/search-query-odata-full-text-search-functions^0|Q|L|0|0|A|B|N|5|W|8|17|6|1M|2|0|0|3H|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@$A|W|B|X|F|G]|$A|Y|B|Z|F|G]|$A|10|B|11|F|G]|$A|12|B|13|F|G]|$A|14|B|15|F|G]]|9|@]|C|$]]|$1|H|3|I|5|6|7|16|8|@$A|17|B|18|F|G]]|9|@]|C|$]]|$1|J|3|-4|5|6|7|19|8|@]|9|@]|C|$]]]|K|$L|$5|M|N|O|C|$P|Q]]]]

You should be able to achieve the desired behavior by using the <a href="https://learn.microsoft.com/en-us/azure/search/search-query-odata-full-text-search-functions" rel="nofollow noreferrer">search.ismatchscoring</a> which allows writing full-text search in filter expressions.
This filter expression will ensure that <code>skateboards</code> is in the <code>Title</code> and search for <code>sports</code> in the <code>Category</code> to contribute to scoring but it will still return documents in other categories due to the <code>or</code> statement:
<code>search.ismatchscoring('skateboards', 'Title') and (search.ismatchscoring('sports', 'Category') or search.ismatchscoring('*'))</code>

blocks|key|1441075|text|您所要求的是通过名为术语助推在Azure搜索的功能来支持的。在您的示例中，您有一些必须存在的搜索词。但是，你实际上不知道这些术语是否在你心目中的某个类别中找到。如果他们这样做了，你会想把这些提升到顶端。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1441076|您的搜索项是一个筛选器，用于确定是否应该包含项目。|unordered-list-item|1441077|您所要求的类别是首选项。|1441078|用例|style|BOLD|1441079|假设你有一个包含音乐的索引。使用以下索引规范(例如，简化)。|1441080|{
"fields":+[

++++{"name":+"Id",+"type":+"Edm.String",+"searchable":+false,+"filterable":+true,+"retrievable":+true,+"sortable":+true,+"facetable":+false,+"key":+true,+"indexAnalyzer":+null,+"searchAnalyzer":+null,+"analyzer":+null,+"synonymMaps":+[]+},+
++++{"name":+"Title",+"type":+"Edm.String",+"searchable":+true,+"filterable":+true},+
++++{"name":+"Genre",+"type":+"Edm.String",+"searchable":+true,+"filterable":+true},
++++{"name":+"Artist",+"type":+"Edm.String",+"searchable":+true,+"filterable":+true}
],+|code-block|syntax|javascript|1441081|}|1441082|索引包含以下项。|1441083|{
++++"value":+[
++++{
++++++++"@search.action":+"mergeOrUpload",
++++++++"Id":+"1",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Classical",
++++++++"Artist":+"London+Symphony"
++++},
++++{
++++++++"@search.action":+"mergeOrUpload",
++++++++"Id":+"2",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Rock",
++++++++"Artist":+"Queen"
++++},
++++{
++++++++"@search.action":+"mergeOrUpload",
++++++++"Id":+"3",
++++++++"Title":+"Bohemian+Rhapsody",
++++++++"Genre":+"Rock",
++++++++"Artist":+"Queen"
++++}
]|1441084|1441085|现在，假设你在寻找这首歌，我们将摇滚你。如果你只是简单地搜索这些条款，你会得到两次点击。注意，与类型Rock的项目得分较高。这是因为你的搜索词岩石的词频。摇滚既发生在体裁中，也出现在标题中。|1441086|{
++++++++"@odata.count":+2,
++++++++"value":+[
++++++++{
++++++++++++"@search.score":+1.4384104,
++++++++++++"Id":+"2",
++++++++++++"Title":+"We+will+rock+you",
++++++++++++"Genre":+"Rock",
++++++++++++"Artist":+"Queen"
++++++++},
++++++++{
++++++++++++"@search.score":+1.1507283,
++++++++++++"Id":+"1",
++++++++++++"Title":+"We+will+rock+you",
++++++++++++"Genre":+"Classical",
++++++++++++"Artist":+"London+Symphony"
++++++++}
++++]
}|1441087|在您的例子中，您更喜欢特定类别的内容。翻译成这个例子，假设你真的更喜欢古典风格的热门歌曲。您可以使用过滤器来构造查询，如下所示。|1441088|我们将震撼你的流派：“古典”|1441089|因为你是过滤，你只会得到一个命中。注意，分数现在也更高了。|1441090|{
"@odata.count":+1,
"value":+[
++++{
++++++++"@search.score":+1.4384104,
++++++++"Id":+"1",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Classical",
++++++++"Artist":+"London+Symphony"
++++}
]}|1441091|如果你申请提升，比如说10倍，你就会看到分数增加了。例如。|1441092|我们将震撼你的流派：“古典”%5E10|1441093|{
"@odata.count":+1,
"value":+[
++++{
++++++++"@search.score":+4.0275493,
++++++++"Id":+"1",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Classical",
++++++++"Artist":+"London+Symphony"
++++}
]}|1441094|但是，假设您不知道在不同的类型中是否有多个版本。你想要的是所有版本的‘我们将摇滚你’，但如果有一个流行的古典体裁，这是你喜欢的。这是一个不同的问题(如果我的解释是正确的，你会问什么)。|1441095|(we+will+rock+you)+OR+(we+will+rock+you+Genre:"Classical"%5E10)|1441096|这会产生两个结果，上面是经典版本。|1441097|++++"@odata.count":+2,
"value":+[
++++{
++++++++"@search.score":+5.1782775,
++++++++"Id":+"1",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Classical",
++++++++"Artist":+"London+Symphony"
++++},
++++{
++++++++"@search.score":+1.4384104,
++++++++"Id":+"2",
++++++++"Title":+"We+will+rock+you",
++++++++"Genre":+"Rock",
++++++++"Artist":+"Queen"
++++}
]|1441098|entityMap|0|LINK|mutability|MUTABLE|url|https://learn.microsoft.com/en-us/azure/search/query-lucene-syntax#bkmk_termboost^0|A|4|0|0|0|0|0|2|0|0|0|0|0|0|0|1E|4|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1Y|8|@]|9|@$A|1Z|B|20|1|21]]|C|$]]|$1|D|3|E|5|F|7|22|8|@]|9|@]|C|$]]|$1|G|3|H|5|F|7|23|8|@]|9|@]|C|$]]|$1|I|3|J|5|6|7|24|8|@$A|25|B|26|K|L]]|9|@]|C|$]]|$1|M|3|N|5|6|7|27|8|@]|9|@]|C|$]]|$1|O|3|P|5|Q|7|28|8|@]|9|@]|C|$R|S]]|$1|T|3|U|5|6|7|29|8|@]|9|@]|C|$]]|$1|V|3|W|5|6|7|2A|8|@]|9|@]|C|$]]|$1|X|3|Y|5|Q|7|2B|8|@]|9|@]|C|$R|S]]|$1|Z|3|U|5|6|7|2C|8|@]|9|@]|C|$]]|$1|10|3|11|5|6|7|2D|8|@$A|2E|B|2F|K|L]]|9|@]|C|$]]|$1|12|3|13|5|Q|7|2G|8|@]|9|@]|C|$R|S]]|$1|14|3|15|5|6|7|2H|8|@]|9|@]|C|$]]|$1|16|3|17|5|6|7|2I|8|@]|9|@]|C|$]]|$1|18|3|19|5|6|7|2J|8|@]|9|@]|C|$]]|$1|1A|3|1B|5|Q|7|2K|8|@]|9|@]|C|$R|S]]|$1|1C|3|1D|5|6|7|2L|8|@]|9|@]|C|$]]|$1|1E|3|1F|5|6|7|2M|8|@]|9|@]|C|$]]|$1|1G|3|1H|5|Q|7|2N|8|@]|9|@]|C|$R|S]]|$1|1I|3|1J|5|6|7|2O|8|@]|9|@]|C|$]]|$1|1K|3|1L|5|Q|7|2P|8|@]|9|@]|C|$R|S]]|$1|1M|3|1N|5|6|7|2Q|8|@]|9|@]|C|$]]|$1|1O|3|1P|5|Q|7|2R|8|@]|9|@]|C|$R|S]]|$1|1Q|3|-4|5|6|7|2S|8|@]|9|@]|C|$]]]|1R|$1S|$5|1T|1U|1V|C|$1W|1X]]]]

What you are asking for is supported via a functionality called <a href="https://learn.microsoft.com/en-us/azure/search/query-lucene-syntax#bkmk_termboost" rel="nofollow noreferrer">Term Boosting</a> in Azure Search. In your example you have some search terms that must exist. But, you don't actually know if those terms are found at all in a category you have in mind. If they do, you would like to boost these to the top.
<ul>
<li>Your search terms is a filter that determines if an article should be included.</li>
<li>Your requested category is a preference.</li>
</ul>
USE CASE
Let's assume that you have an index with music. You use the following index specification (simplified for example).
<pre><code>{
&quot;fields&quot;: [

 {&quot;name&quot;: &quot;Id&quot;, &quot;type&quot;: &quot;Edm.String&quot;, &quot;searchable&quot;: false, &quot;filterable&quot;: true, &quot;retrievable&quot;: true, &quot;sortable&quot;: true, &quot;facetable&quot;: false, &quot;key&quot;: true, &quot;indexAnalyzer&quot;: null, &quot;searchAnalyzer&quot;: null, &quot;analyzer&quot;: null, &quot;synonymMaps&quot;: [] }, 
 {&quot;name&quot;: &quot;Title&quot;, &quot;type&quot;: &quot;Edm.String&quot;, &quot;searchable&quot;: true, &quot;filterable&quot;: true}, 
 {&quot;name&quot;: &quot;Genre&quot;, &quot;type&quot;: &quot;Edm.String&quot;, &quot;searchable&quot;: true, &quot;filterable&quot;: true},
 {&quot;name&quot;: &quot;Artist&quot;, &quot;type&quot;: &quot;Edm.String&quot;, &quot;searchable&quot;: true, &quot;filterable&quot;: true}
], 
</code></pre>
}
The index contains the following items.
<pre><code>{
 &quot;value&quot;: [
 {
 &quot;@search.action&quot;: &quot;mergeOrUpload&quot;,
 &quot;Id&quot;: &quot;1&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Classical&quot;,
 &quot;Artist&quot;: &quot;London Symphony&quot;
 },
 {
 &quot;@search.action&quot;: &quot;mergeOrUpload&quot;,
 &quot;Id&quot;: &quot;2&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Rock&quot;,
 &quot;Artist&quot;: &quot;Queen&quot;
 },
 {
 &quot;@search.action&quot;: &quot;mergeOrUpload&quot;,
 &quot;Id&quot;: &quot;3&quot;,
 &quot;Title&quot;: &quot;Bohemian Rhapsody&quot;,
 &quot;Genre&quot;: &quot;Rock&quot;,
 &quot;Artist&quot;: &quot;Queen&quot;
 }
]
</code></pre>
}
Now, assume that you are looking for the song we will rock you. If you simply searched for those terms, you would get two hits. Notice that the item with the genre Rock is scored higher. This is because of the term frequency for your search term rock. Rock occurs both in the genre and the title.
<pre><code>{
 &quot;@odata.count&quot;: 2,
 &quot;value&quot;: [
 {
 &quot;@search.score&quot;: 1.4384104,
 &quot;Id&quot;: &quot;2&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Rock&quot;,
 &quot;Artist&quot;: &quot;Queen&quot;
 },
 {
 &quot;@search.score&quot;: 1.1507283,
 &quot;Id&quot;: &quot;1&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Classical&quot;,
 &quot;Artist&quot;: &quot;London Symphony&quot;
 }
 ]
}
</code></pre>
In your case, you would prefer content from a specific category. Translated to this example, assume that you would really prefer hits from the Classical genre. You could construct your query with a filter, like this.
we will rock you Genre:&quot;Classical&quot;
Since you are filtering, you will only get 1 hit. Notice that the score is now higher too.
<pre><code>{
&quot;@odata.count&quot;: 1,
&quot;value&quot;: [
 {
 &quot;@search.score&quot;: 1.4384104,
 &quot;Id&quot;: &quot;1&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Classical&quot;,
 &quot;Artist&quot;: &quot;London Symphony&quot;
 }
]}
</code></pre>
If you apply boosting, say by a factor of 10, you will see that the score increases. E.g.
we will rock you Genre:&quot;Classical&quot;^10
<pre><code>{
&quot;@odata.count&quot;: 1,
&quot;value&quot;: [
 {
 &quot;@search.score&quot;: 4.0275493,
 &quot;Id&quot;: &quot;1&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Classical&quot;,
 &quot;Artist&quot;: &quot;London Symphony&quot;
 }
]}
</code></pre>
But, lets assume that you don't know if there are multiple versions in different genres. What you want is all versions of 'we will rock you', but if there is a hit from the classical genre, that's what you prefer. This is a different question (and what you are asking if my interpretation is correct).
<pre><code>(we will rock you) OR (we will rock you Genre:&quot;Classical&quot;^10)
</code></pre>
This produces 2 results, with the Classical version on top.
<pre><code> &quot;@odata.count&quot;: 2,
&quot;value&quot;: [
 {
 &quot;@search.score&quot;: 5.1782775,
 &quot;Id&quot;: &quot;1&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Classical&quot;,
 &quot;Artist&quot;: &quot;London Symphony&quot;
 },
 {
 &quot;@search.score&quot;: 1.4384104,
 &quot;Id&quot;: &quot;2&quot;,
 &quot;Title&quot;: &quot;We will rock you&quot;,
 &quot;Genre&quot;: &quot;Rock&quot;,
 &quot;Artist&quot;: &quot;Queen&quot;
 }
]
</code></pre>

I would like to implement a search logic like this &quot;Give me all articles from the index that match my term and prefer articles from a certain category&quot;.
In elastic search it is possible to implement this with &quot;should&quot; Boolean queries: <a href="https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html" rel="nofollow noreferrer">https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html</a>
<blockquote>
should The clause (query) should appear in the matching document.
</blockquote>
But I am not sure how to implement this in Azure Cognitive Search. One option would be to make a search for all articles that are not in the category and then all all that are in the category and make some kind of global order based on the scoring.
Is there a built-in functionality?

Can I use optional filters in Azure Cognitive Search

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我想实现这样的搜索逻辑：“给我索引中的所有与我的术语相匹配的文章，并且更喜欢某个类别的文章”。在弹性搜索中，可以使用“应该”布尔查询：来实现这一点。子句(查询)是否应该出现在匹配的文档中。但我不知道如何在Azure认知搜索中实现这一点。一种选择是搜索不属于类别的所有文章，然后搜索所有不在类别中的文章，并在评分的基础上建...

问我可以在Azure认知搜索中使用可选筛选器吗？
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问我可以在Azure认知搜索中使用可选筛选器吗？EN