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搜索引擎链接分析中的链接优化

链接优化是指通过分析搜索引擎对链接的权重评估标准，优化网站内部链接和外部链接，以提高网站相关性、权威性和排名，增加流量和曝光度的过程。常见的链接优化技术包括： 1. 内部链接优化：通过在网站内部添加相关链接、使用含有关键词的锚文本或链接标题等手段，提高网站内页面之间的联系和权重分配，增加搜索引擎对网站内容的理解和评价，提高排名。 2. 外部链接优化：通过在其他网站、社交媒体、论坛、博客等平台上发布与网站内容相关的链接、建立高质量的外部链接、获得其他网站的推荐和分享等方式，提高网站的外部影响力和权威性，增加流量和排名。 3. 链接质量评估：通过分析网站外部链接的质量，判断其是否对网站排名有积极影响或否定影响，对于低质量、垃圾链接进行清理、彻底删除或标记为nofollow等操作，避免对网站排名带来负面影响。链接优化是搜索引擎优化的重要组成部分，通过合理的链接优化策略，可以提高网站的相关性、权威性和排名，为网站的流量和曝光度带来可观的提升。

Public @ 2023-06-14 18:50:33

Matt Cutts谈PR和PR更新

威海链接原理威海PR
2172

大家都注意到前两天Toolbar(工具条)PR已经更新了。Matt Cutts发了一个帖子，回答一些关于PR和PR更新的问题。问：我很好奇PR值在内部是怎样存储的？是小数，就像人们猜测的，还是整数？答：把它想为小数更准确。当然目前我们内部的PR计算比toolbar显示的0－10要长的多。问：我需要知道这个吗？我知道PR能告诉我什么，我为什么要在乎？也就是说对普通网站来说，PR有什么目的？答：我想这

Public @ 2012-12-27 15:39:04

李彦宏超链分析和Google PR专利的区别

最早了解李彦宏超链分析专利是在洪波的博客中看到一篇文章：超链分析和PageRank的专利问题，才第一次知道百度总裁李彦宏曾经申请并获得对于超链接分析的专利，这份专利申请文件在美国专利局网站看到。李彦宏这个专利申请是在Google申请他们自己的PageRank专利之前的。由于这两份专利都是研究网页链接的，而且这两个专利的发明人是现在两大搜索引擎的创始人，所以很多人对这两个技术专利分不大清楚。甚至有的

Public @ 2012-05-15 15:39:01

搜索引擎基于链接的排序算法

向大家推荐这篇较早以前的文章，其实很多经典的文章，SEO的价值含量才更多。基于链接的排序算法似乎已广泛应用到各种商业搜索引擎中。为了让设计出来的网站能够在各种搜索引擎中获得较高排名，设计者们应该知道这些算法的原理。 Google排名的成功意味着PageRank算法值得特别的关注。PageRank算法是少数几个公开的排序算法之一。PageRank算法对数学要求很高，但可以做些简单的解释，以分析它对网

Public @ 2016-10-03 16:21:58

Google链接分析专利

商业周刊今天发表一篇文章谈搜索引擎市场的竞争情况。Matt Cutts很快发了个贴子评论了下。搜索引擎各自的商业模式，关注点和优缺点就不多说了。引起我兴趣的是Matt Cutts特意提到一个Google链接分析的专利。这个专利是Google在2001年申请，2003年2月批准的，美国专利号号6526440。Google和其他搜索引擎公司都有大把的专利，但拿出来谈的很少，哪些已经用在排名算法里外人就

Public @ 2017-10-08 16:21:56

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[ DB ] CONNECT:[ UseTime:0.024246s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.017216s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 8916 LIMIT 1 [ RunTime:0.016358s ]
[ 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:0.016728s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article_tongji', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 608, 'extra' => 'Using where; Using filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.017010s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.016653s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 8916 LIMIT 1 [ RunTime:0.016163s ]
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[ SQL ] update `ob_article` set views=views+2 where id=8916 [ RunTime:0.018876s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海链接原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.023774s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海链接原理' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.036007s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海链接原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.023785s ]
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