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用户数据排名因素有哪些？

用户排名因素列举如下：

来自 Google Search Wiki投票，评级，评论的数据。

搜索结果中一个域名所有网页的历史点击率。

Gmai邮件中出现的域名引用或链接。

域名或品牌名称被当做查询词搜索。

用户点击搜索结果后又调整搜索词。

搜索结果中特定页面的历史点击率。

平均网页浏览时间。

来源：搜外网

Public @ 2014-12-28 16:18:36

讲3个SEO相关小问题！权重+收录+15天定律！

威海seo专题威海seo方案
2002

1. 权重：权重是搜索引擎根据关键词权重来决定搜索结果排序的算法，用于搜索引擎搜索页面的排序权重的大小，越高的权重，搜索引擎排名会越靠前。 2. 收录：收录指的是搜索引擎是否获取到网站相关页面，网页收录”指的是网页被搜索引擎所索引、收录，以便在搜索引擎搜索结果里出现。 3. 15天定律：“15天定律”指的是每天一个月以内，搜索引擎的抓取和收录速度会越来越快，一般在15天左右就能完成网站的全

Public @ 2023-02-25 23:27:22

抖音SEO与百度SEO区别与相同

本文大纲：1、抖音SEO是什么?2、抖音SEO与百度SEO相同点3、抖音SEO与百度SEO不同点4、为什么要学习抖音SEO?抖音SEO是什么?抖音SEO是什么?套用SEO思维中跨平台SEO思维来理解就是关于抖音的搜索排名优化。白杨seo，公众号：白杨SEO优化教程白杨SEO：抖音SEO是什么?揭秘抖音搜索算法工作原理和推荐算法【收藏】上面引用那句是我两年前写的说法。如果现在更细化点来说的话，抖音

Public @ 2016-05-25 15:26:42

用户数据排名因素有哪些？

用户数据排名因素可以分为以下几类： 1. 网站交互数据：包括用户访问量、停留时间、反弹率、页面内链接点击率等。 2. 社交媒体数据：包括社交媒体中的分享和评论、点赞和关注等。 3. 内容质量：包括页面品质、用户体验、页面标题和描述等。 4. 外链质量：包括外链数量、来源、质量等。 5. 网站结构：包括网站架构、网站速度、移动设备兼容性等。 6. 关键词：包括关键词的使用频率、相似词的使

Public @ 2023-04-12 16:51:04

用户数据排名因素有哪些？

用户排名因素列举如下：来自 Google Search Wiki投票，评级，评论的数据。搜索结果中一个域名所有网页的历史点击率。Gmai邮件中出现的域名引用或链接。域名或品牌名称被当做查询词搜索。用户点击搜索结果后又调整搜索词。搜索结果中特定页面的历史点击率。平均网页浏览时间。来源：搜外网

Public @ 2014-12-28 16:18:36

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[ DB ] CONNECT:[ UseTime:0.031162s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.021669s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.020747s ]
[ 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:0.021768s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.020706s ]
[ 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:0.022021s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 4969 LIMIT 1 [ RunTime:0.020679s ]
[ 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:0.021751s ]
[ 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:0.021424s ]
[ 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 rand() limit 30 [ RunTime:0.021592s ]
[ 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 temporary; Using filesort', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 4969 LIMIT 1 [ RunTime:0.020861s ]
[ 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 ] update `ob_article` set views=views+2 where id=4969 [ RunTime:0.021647s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海seo专题' AND `status` <> -1 LIMIT 1 [ RunTime:0.030548s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海seo专题' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.052130s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海用户排名因素' AND `status` <> -1 LIMIT 1 [ RunTime:0.028308s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海用户排名因素' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.039499s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where; Using temporary; Using filesort', ) ]

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