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排名算法（rankingalgorithm）

威海seo术语威海排名算法
2282

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

匹配页（match）

威海seo术语威海匹配页
2734

一个被查找引擎树立的呼应查找恳求网页，查找引擎运用不同的技能来决议哪个网页匹配哪个查找恳求，而且依照相关性对网页排序，这样最好的匹配页会最先呈现。

Public @ 2021-10-18 15:51:46

交互链接（reciprocallink）

威海seo术语威海交互链接
1506

也称作双向链接，是对一个网页不但有超文本链接，一起对应有和原始网页的链接。

Public @ 2022-08-09 15:51:32

排名算法（Rankingalgorithm）

威海seo术语威海排名算法
2220

排名算法是指在给定数据集中，按照某些规定的标准对数据进行排名的过程。排名算法可以用于各种领域中的数据分析，例如搜索引擎优化、社交网络推荐、体育比赛排名等。常见的排名算法包括： 1. 随机决策森林（Random Forest） 2. 支持向量机（Support Vector Machine） 3. 朴素贝叶斯分类器（Naive Bayes Classifier） 4. 决策树（Decisio

Public @ 2023-04-03 11:00:14

排名算法（Rankingalgorithm）

威海seo术语威海排名算法
2282

　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:0.025318s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.018242s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.029112s ]
[ 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:0.025402s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.027230s ]
[ 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:0.018142s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 2682 LIMIT 1 [ RunTime:0.019109s ]
[ 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:0.017180s ]
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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:0.017580s ]
[ 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:0.017816s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 2682 LIMIT 1 [ RunTime:0.016949s ]
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[ SQL ] update `ob_article` set views=views+2 where id=2682 [ RunTime:0.018922s ]
[ 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:0.025662s ]
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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:0.035657s ]
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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:0.035994s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海排名算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.044337s ]
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