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百度搜索引擎工作原理-3-检索排序

检索排序是指根据用户查询的关键词和相关度分数对文档进行排序，以便在搜索结果页面中将最相关和最相关的文档排在前面。百度搜索引擎使用了一种称为PBM（Probabilistic Boolean Model）的检索算法来衡量文档的相关性，以及PageRank算法来确定文档的权重和排名。 PBM算法将计算文档中包含用户搜索查询词的概率，并以此计算文档的相关度得分。这个概率是通过使用贝叶斯公式结合词频率、文档频率和词群的概率来计算的。这意味着，一个文档所包含的搜索查询词的数量越多，它被认为越相关。 PageRank算法是另一种重要的排序算法，它考虑到链接结构对文档的权重和排名的影响。它衡量文档的权重，称为PageRank值。该算法基于一个假设，即一个页面的排名与被链接到的其他页面数量有关。如果一个页面被很多其他页面链接，那么它被认为是更重要的，并被分配更高的PageRank值。通过使用这些算法，百度搜索引擎可以根据用户查询和文档相关性对搜索结果进行排序，并显示最相关的文档在搜索结果页面的顶部。

Public @ 2023-06-16 04:00:39

爬行、抓取、索引、收录，指的都是什么？

一位读者在蜘蛛抓取配额是什么这篇帖子留言：不对呀，这个index标签，是指告诉蜘蛛可以抓取该页面，那么noindex不就是不允许抓取该页面吗？！那么为什么文章最后的几个说明里有“noindex标签不能节省抓取份额。搜索引擎要知道页面上有noindex标签，就得先抓取这个页面，所以并不节省抓取份额。”留言说明，这位读者并没有太明白什么是抓取，什么是索引，index和noindex标签的意义又是什么。

Public @ 2021-09-23 16:21:52

搜索引擎怎样抓到你？

搜索引擎通常通过以下方式来抓取您的网页内容： 1. 网站提交：您可以将您的网站提交给各大搜索引擎，以便搜索引擎了解您的网站存在。 2. 网络爬虫：搜索引擎使用自己的网络爬虫程序，定期检索并抓取互联网上的内容。当您的网站被网络爬虫访问时，搜索引擎就可以抓取您的网页内容。 3. 外部链接：如果您的网站被其他网站所链接，搜索引擎可以通过这些链接进入您的网站并抓取您的网页内容。 4. 社交媒体：如

Public @ 2023-06-07 04:00:10

百度搜索引擎工作原理-1-抓取建库

Spider抓取系统的基本框架互联网信息爆发式增长，如何有效的获取并利用这些信息是搜索引擎工作中的首要环节。数据抓取系统作为整个搜索系统中的上游，主要负责互联网信息的搜集、保存、更新环节，它像蜘蛛一样在网络间爬来爬去，因此通常会被叫做“spider”。例如我们常用的几家通用搜索引擎蜘蛛被称为：Baiduspdier、Googlebot、Sogou Web Spider等。Spider抓取系统是搜索

Public @ 2014-12-20 16:21:47

百度搜索引擎工作原理-1-抓取建库

百度搜索引擎的工作原理包括四个主要步骤：抓取建库、索引和排序、查询和展示。本文将详细介绍第一步——抓取建库。抓取建库是指百度搜索引擎自动收集互联网上的网页，并将其存储在一个庞大的数据库中。这个过程是由自动化程序（称为爬虫或蜘蛛）执行的。百度的爬虫程序以网页为基础，从每个网页的链接开始自动抓取所有相关的网页，并将这些网页保存在一个大型数据库中。这个过程被称为“爬行”，“爬取”或“抓取”。

Public @ 2023-04-06 19:50:54

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.024916s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.017966s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.016835s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_config', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 25, 'extra' => NULL, ) ]
[ SQL ] SHOW COLUMNS FROM `ob_hook` [ RunTime:0.017766s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.016713s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_hook', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 3, 'extra' => NULL, ) ]
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.017855s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 8981 LIMIT 1 [ RunTime:0.016755s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='cate' order by times desc limit 15 [ RunTime:0.017215s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.017357s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.017784s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 8981 LIMIT 1 [ RunTime:0.016900s ]
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[ SQL ] update `ob_article` set views=views+2 where id=8981 [ RunTime:0.017934s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海搜索引擎工作原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.027807s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海搜索引擎工作原理' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.034697s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度搜索引擎工作原理（百度搜索资源平台）' AND `status` <> -1 LIMIT 1 [ RunTime:0.023878s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度搜索引擎工作原理（百度搜索资源平台）' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.041328s ]
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