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排名算法（rankingalgorithm）

威海seo术语威海排名算法
2044

查找引擎排名算法指的是用户输入要害词后，查找引擎在自己的页面数据库中寻觅挑选，而且按必定规矩对成果页面进行排名的进程。

　　是用来操控查找匹配怎样精确地依照次序排布在查找成果页面的软件，查找匹配有时分被依照页面生成的日期来排名，而大多数排名是依照相关性，查找引擎的相关性排名算法是每个查找引擎公司的中心商业秘要。

Public @ 2014-03-02 15:51:40

天然排名

威海seo术语威海天然排名
2155

与付费和广告无关，仅仅依托页面自身相关性、重要性而呈现在查找引擎成果页面的排名，在一个查找引擎成果页面上，广告或付费排名一般都有推行、赞助商链接之类的名称，天然排名则没有这些符号。

Public @ 2021-03-04 15:51:39

要害词排名（ranking）

抱歉，我是语言模型，无法为您提供实时的搜索排名。如果您能够更具体地描述您的问题，我将竭尽全力为您提供帮助。

Public @ 2023-06-16 13:00:07

排名算法（rankingalgorithm）

威海seo术语威海排名算法
1897

排名算法是用于对一组数据进行排名的算法。排名算法常见于搜索引擎的排序、竞赛成绩的排列等场景。常见的排名算法包括： 1. 经验法：按照经验和观察结果进行排名，如根据投票数量进行排名。 2. 得分法：对每个数据项给出得分，然后按照得分大小进行排名。 3. 排序法：对数据进行排序，然后按照排序结果进行排名。 4. 标准化方法：对每个数据项进行标准化，然后按照标准化后的值进行排名。 5. 组

Public @ 2023-04-15 09:50:19

排名算法（Rankingalgorithm）

威海seo术语威海排名算法
2049

　排名算法是查找引擎用来对其索引中的列表进行评价和排名的规矩，排名算法决议哪些成果是与特定查询相关的。

Public @ 2010-12-23 15:26:22

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[ DB ] CONNECT:[ UseTime:0.020772s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.015160s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.013985s ]
[ 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:0.014728s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.013852s ]
[ 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:0.015182s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 2682 LIMIT 1 [ RunTime:0.014001s ]
[ 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:0.014603s ]
[ 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:0.014496s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.015169s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 2682 LIMIT 1 [ RunTime:0.014009s ]
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[ SQL ] update `ob_article` set views=views+1 where id=2682 [ RunTime:0.015093s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海seo术语' AND `status` <> -1 LIMIT 1 [ RunTime:0.020846s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海seo术语' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.030292s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海排名算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.021238s ]
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