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TrustRank算法

TrustRank算法是一個(gè)用于檢測(cè)Web圖譜（Web graphs）的可靠性和安全性的算法。它是由斯坦福大學(xué)的一組研究人員開發(fā)和發(fā)布的。TrustRank的思想是基于之前的 PageRank算法，但是與PageRank不同的是，TrustRank使用了人工干預(yù)的方式，將一些網(wǎng)站標(biāo)記為可信、不可信或者中等可信度。然后，利用這些標(biāo)記，計(jì)算每個(gè)網(wǎng)站的信任值，表示對(duì)這個(gè)網(wǎng)站的訪問與使用是否安全和可靠。這個(gè)算法的核心思想是，信任的傳遞。也就是說，如果一個(gè)網(wǎng)站被標(biāo)記為可信，則從這個(gè)網(wǎng)站到其鏈接的網(wǎng)站的信任值也會(huì)增加。反之亦然，如果一個(gè)網(wǎng)站被標(biāo)記為不可信，則到其鏈接的其他網(wǎng)站的信任值也會(huì)受到影響。TrustRank算法可以通過對(duì)Web圖譜進(jìn)行分析和可視化，幫助用戶識(shí)別可信度高的網(wǎng)站和不受信任的網(wǎng)站，以保護(hù)用戶的信息安全和網(wǎng)絡(luò)安全。

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

搜索引擎鏈接分析中的鏈接優(yōu)化

鏈接優(yōu)化是搜索引擎優(yōu)化（SEO）中的一個(gè)重要方面，對(duì)于提高網(wǎng)站的排名和可見度非常關(guān)鍵。下面是一些常見的鏈接優(yōu)化策略： 1. 內(nèi)部鏈接優(yōu)化：在網(wǎng)站的不同頁(yè)面之間建立清晰的內(nèi)部鏈接結(jié)構(gòu)，使搜索引擎能夠更好地抓取和理解網(wǎng)站的內(nèi)容。這有助于提高頁(yè)面之間的鏈接價(jià)值，并增加搜索引擎對(duì)頁(yè)面的重要性評(píng)分。 2. 外部鏈接優(yōu)化：獲得高質(zhì)量的外部鏈接指向自己的網(wǎng)站，這有助于提高網(wǎng)站的權(quán)威性和可信度。可以通過創(chuàng)建有

Public @ 2023-07-23 12:00:33

Google PageRank還重要嗎？

威海鏈接原理威海PR
1451

作為一個(gè)AI語(yǔ)言模型，我認(rèn)為Google PageRank仍然是重要的。盡管Google已經(jīng)停止公開更新PageRank數(shù)據(jù)，但這個(gè)算法仍然是指導(dǎo)Google搜索引擎排名的重要因素之一。PageRank算法可以讓Google更好地理解網(wǎng)頁(yè)的相關(guān)性和權(quán)威性，以便為用戶提供更準(zhǔn)確的搜索結(jié)果。此外，PageRank的概念也為其他搜索引擎的排名算法提供了啟示，因此它仍然具有重要的參考價(jià)值。

Public @ 2023-03-30 05:50:12

TrustRank算法

TrustRank算法是早年基于鏈接關(guān)系的排名算法。TrustRank可以翻譯為“信任指數(shù)”。算法簡(jiǎn)介TrustRank算法TrustRank算法最初來自于2004年斯坦福大學(xué)和雅虎的一項(xiàng)聯(lián)合研究，用來檢測(cè)垃圾網(wǎng)站，并且于2006年申請(qǐng)專利。TrustRank算法發(fā)明人還發(fā)表了一份專門的PDF文件，說明TrustRank算法的應(yīng)用。感興趣的讀者可以在下面這個(gè)網(wǎng)址下載PDF文件：TrustRank算

Public @ 2015-10-12 15:39:10

TrustRank算法

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

更多您感興趣的搜索

基本文件流程錯(cuò)誤 SQL 調(diào)試

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[ DB ] CONNECT:[ UseTime:0.021815s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.015770s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 6807 LIMIT 1 [ RunTime:0.014905s ]
[ 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:0.015454s ]
[ 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:0.015221s ]
[ 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:0.016155s ]
[ 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` = 6807 LIMIT 1 [ RunTime:0.014848s ]
[ 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=6807 [ RunTime:0.016134s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海鏈接原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.027801s ]
[ 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` = '威海鏈接原理' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.032800s ]
[ 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TrustRank算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.023104s ]
[ 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TrustRank算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.030931s ]
[ 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', ) ]

0.419741s

Categories

Tags

TrustRank算法

搜索引擎鏈接分析中的鏈接優(yōu)化

Google PageRank還重要嗎？

TrustRank算法

TrustRank算法

更多您感興趣的搜索

Categories

Tags

TrustRank算法

搜索引擎鏈接分析中的鏈接優(yōu)化

Google PageRank還重要嗎？

TrustRank算法

TrustRank算法

更多您感興趣的搜索

Google PageRank還重要嗎？