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TrustRank算法

TrustRank是一种基于Web搜索的信息检索技术，用于挖掘有质量的网页，并将其置于搜索结果的顶部。它可以准确地将有质量的网页与搜索词相关联，从而过滤掉某些无关的链接，让有质量的网页出现在搜索结果中。 TrustRank算法通过跟踪搜索引擎向用户展示的链接的信誉来确定搜索结果的顺序。同时它会检测用户的反馈，比如点击量，浏览时间，以及用户评价，用于调整页面排列顺序。这样的话，用户就可以更加准确地获得质量更高的相关网页，从而提升搜索质量。

Public @ 2023-02-27 09:48:21

HITS算法

威海链接原理威海HITS算法
1413

HITS 算法是由康奈尔大学( Cornell University ) 的Jon Kleinberg 博士于1997 年首先提出的,为IBM 公司阿尔马登研究中心( IBM Almaden Research Center) 的名为“CLEVER”的研究项目中的一部分。英文全称Hyperlink-Induced Topic Search算法由来HITS 算法是由康奈尔大学( Cornell Uni

Public @ 2022-03-03 15:39:12

HITS算法

威海链接原理威海HITS算法
1521

HITS算法（Hypertext-Induced Topic Selection），也称为Hubs and Authorities algorithm，是一种用来计算图中节点相对重要性的算法。它是Larry Page and Sergey Brin 在1998年首次提出，以提高他们搜索引擎Google的网页检索准确性。HITS算法通过分析不同节点间的连接关系来鉴定节点的重要性分数：一个节点

Public @ 2023-02-27 07:00:50

TrustRank算法

TrustRank算法是一个用于检测Web图谱（Web graphs）的可靠性和安全性的算法。它是由斯坦福大学的一组研究人员开发和发布的。TrustRank的思想是基于之前的 PageRank算法，但是与PageRank不同的是，TrustRank使用了人工干预的方式，将一些网站标记为可信、不可信或者中等可信度。然后，利用这些标记，计算每个网站的信任值，表示对这个网站的访问与使用是否安全和可靠。这

Public @ 2023-04-05 05:50:11

TrustRank算法

TrustRank是一种基于Web搜索的信息检索技术，用于挖掘有质量的网页，并将其置于搜索结果的顶部。它可以准确地将有质量的网页与搜索词相关联，从而过滤掉某些无关的链接，让有质量的网页出现在搜索结果中。 TrustRank算法通过跟踪搜索引擎向用户展示的链接的信誉来确定搜索结果的顺序。同时它会检测用户的反馈，比如点击量，浏览时间，以及用户评价，用于调整页面排列顺序。这样的话，用户就可以更加准

Public @ 2023-02-27 09:48:21

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[ DB ] CONNECT:[ UseTime:0.026165s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.018818s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 6016 LIMIT 1 [ RunTime:0.017653s ]
[ 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:0.017864s ]
[ 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:0.018236s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.018732s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 6016 LIMIT 1 [ RunTime:0.017518s ]
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[ SQL ] update `ob_article` set views=views+1 where id=6016 [ RunTime:0.018200s ]
[ 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:0.024219s ]
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