Unlike a search engine, which finds relevant web pages statistically using key words, True Knowledge is able to reason.
与搜索引擎凭借关键字搜索相关网页不同的是，这款程序会进行逻辑推理。
Similar customer groups, relevant WEB pages and frequent access paths can be discovered by analyzing of WEB log files.
通过对WEB服务器日志文件进行分析，可以发现相似的客户群体、相关WEB页面以及频繁访问路径。
It has access to Google's web results so offers you search Suggestions as well as relevant web pages out of those you've already visited.
它会进入到Google的网页搜索结果，除了提供你已经访问过的地址外，还会提供一些搜索建议和相关网页。
Then, similar customer groups or relevant Web pages were obtained by measuring the similarity between column vectors or between row vectors of the associated matrix.
然后，对所建立关联矩阵的列向量或行向量进行相似性度量，获得相似客户群体或相关页面。
So, when you type in your search words and hit search, then the search engine will try to match your words with the best, most relevant web pages it can find by 'searching the web'.
所以，当您在您的搜索字词并按下搜索类型，则搜索引擎将尝试以配合最好，最相关的网页您的话来说，就是可以通过'搜索网络'。
I. (and other technology) to sort through billions of web pages to give you the most relevant pages for your query.
它使用人工智能(和其他技术)从上百亿的的网页中选取出与你的查询最相关的页面。
On-page markup enables search engines to understand the information on web pages and provide richer search results in order to make it easier for users to find relevant information on the web.
对网页的标记使得搜索引擎能理解网页的信息和提供更丰富的搜索结果，这样用户可以在网上更方便地查找相关资料。
Typically, users do not read Web pages -- they skim for relevant information.
通常情况下，用户不会详细阅读整个 Web页面，而是会寻找相关信息。
Not just any information, but highly filtered and relevant information beyond the weightiness of full Web pages and extraneous data.
这些信息并不是随意的，而是经高度过滤的相关的信息，胜于整篇网页的大量无关信息。
A good example is the web search engine, which USES A.I. (and other technology) to sort through billions of web pages to give you the most relevant pages for your query.
一个明显的例子就是搜索引擎。它使用人工智能(和其他技术)从上百亿的的网页中选取出与你的查询最相关的页面。
When you type in a search query, Google surveys billions of Web pages on its index servers to identify the most relevant ones.
当你在搜索框里敲入特定字符时，谷歌就会在其索引服务器上的数十亿网页上进行搜索，以识别出最相近的内容。
The tool will provide developers working on a task, access to "the 'context' of source code, documents, and Web pages that are most relevant to the task."
正从事某项任务的开发者可以使用该工具访问到与该任务最密切相关的源代码“上下文”、文档以及网页。
Just take a look at your own bookmarks, collected after a few years of exploring the web. Do relevant pages from your favorite sites always come up in Google?
看看你收藏夹里搜集了几年的网站，你喜欢的站点是否都出现在Google上？
Traditional focused crawler is targeting web pages that are relevant to some specific topics. But some applications, such as web directory, are providing users with relevant websites.
传统的聚焦爬虫抓取的目标是与某一特定主题内容相关的网页，而在有些应用中，如网络目录，更多的是给用户提供主题相关网站。
Through Extending Virtual Description Model, VDM web pages can support modular design, and bring forward relevant extended semantic tag format grammar.
对虚拟表示模型进行了扩展，使VDM页面能够灵活地支持模块化设计，并给出了相应扩充语义标记的形式文法。
Through Extending Virtual Description Model, VDM web pages can support modular design, and bring forward relevant extended semantic tag format grammar.
对虚拟表示模型进行了扩展，使VDM页面能够灵活地支持模块化设计，并给出了相应扩充语义标记的形式文法。
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