“排名”的实际含义是什么？在 Lucene 当卢克查看时？
我正在使用 Luke 查看 Lucene 索引。有一个名为“排名”的列。它的实际意义是什么？我的猜测是，排名意味着出现的次数，排名数字越大，意味着该术语越重要。但我不明白的是，这是全文搜索。如果我搜索“apple”，将返回所有“apple”索引，与“apple”的排名无关。难道是我理解有误？如果不是，Rank 列的实际用途是什么？
当我检查索引时，似乎有相当多的“噪音”，例如字符“o”具有非常高的排名数。是不是说明这个指数不好？我应该如何修复它？ 提前致谢。
I am using Luke to view a Lucene index. There is a column named 'Rank'. What is the actual meaning of it? My guess is that the Rank means number of occurrence and the larger Rank number meaning the term is more significant. But I don't understand is that it is a full text search. If I search for 'apple', all the 'apple' index will be returned that doesn't matter with what Rank 'apple' has. Am I having a wrong understanding? If not, what is the actual use for the Rank column?
When I inspect the index, it seems there are quite some 'noise' there, e.g. the character 'o' has a very high Rank number. Does it mean this index is bad? How should I fix it?
Thanks in advance.
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“排名”是某个术语在某个字段中出现的频率。这并不意味着它更重要。事实上，最不常见的术语通常是索引中最重要的。但是，了解索引中最常见的术语有时对于分析或调试目的很重要（请参阅 例如这个问题）。
事实上，你有很多像“o”这样的术语并不意味着你的索引不好。检查用于索引的分词器和分析器。一些分词器会删除标点符号上的单词。一些分析器会提取单词的词干，并且通常会生成单字母术语。有很多原因可以解释单字母术语的存在。
如果您在索引中看到很多不需要的术语，您可以考虑在索引时使用停用词过滤器。 Lucene 提供了这方面的功能。
'Rank' is the frequency of a term within a field. It does not mean it is more significant. In fact, the least frequent terms are often the most significant of an index. But knowing the most frequent terms of your index is sometimes important for analysis or debug purpose (see this question for example).
The fact that you have a lot of terms like 'o' does not mean your index is bad. Check the tokenizer and analyzer used for indexing. Some tokenizer strips words on punctuation mark. Some analyzers will stem words and often, it will yield single letter terms. There are a lot of reasons that can explain the presence of single letter terms.
If you see a lot of undesirable terms in your index, you might consider using a stop words filter at index time. Lucene provides functionalities for this.