为应对这个挑战，在搜索引擎系统中引入了分布式计算和倒排文档全文检索技术。
In order to deal with this challenge, the technology of distributed computing and inverted document full-text retrieval were introduced into the search engine system.
尽管如此，用于排序结果的数学模型通常是常用的词频/倒排文档频率模型的变体，而对于这种模型，已有很好的研究基础。
Still, the mathematical models used to rank results are usually some variation of the common term-frequency/inversed document frequency model, which is well-mapped territory.
从技术的角度来看，倒排索引用于存储文档中出现的关键字，并且支持搜索，它是一种广为熟悉并且精确描述的数据结构。
From a technical perspective, the inverted index, used to store keywords that appear in documents and enable searches, is a well-known and well-described data structure.
提出了一种基于倒排表的索引，能很好地支持文档结构和内容的动态更新。
Proposes an inverted index structure that supports dynamic update, including both structure and content updates.
该文分析了当前对XML数据检索的相关工作，提出了一种路径索引技术，并将之无缝结合了基于文本的倒排索引文档，以实现XML文档的内容和结构的双重检索。
This paper analyzes data retrieval of XML currently, and proposes a kind of path index technology which have been combined with inverted file to implement retrieval both on context and structure.
该文分析了当前对XML数据检索的相关工作，提出了一种路径索引技术，并将之无缝结合了基于文本的倒排索引文档，以实现XML文档的内容和结构的双重检索。
This paper analyzes data retrieval of XML currently, and proposes a kind of path index technology which have been combined with inverted file to implement retrieval both on context and structure.
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