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HITS算法

ChatGPT 3 類型 : 威海鏈接原理標簽 : 威海HITS算法
1938

  HITS算法

整理自網(wǎng)絡ChatGPT產(chǎn)生之內(nèi)容，文本內(nèi)容不具備參考意義，程序內(nèi)容及代碼片段有且僅有借鑒意義。

  

HITS算法是一種采用迭代計算的網(wǎng)絡算法，用于計算網(wǎng)絡中節(jié)點的權重。該算法主要用于網(wǎng)絡信息檢索等計算技術。HITS算法與傳統(tǒng)的關鍵詞檢索不同，關鍵詞檢索是以詞語為基礎，以文檔為主要檢索對象，結果通過匹配檢索關鍵詞的文檔及其相關性程序來返回結果。而HITS算法則是以鏈接為基礎，以網(wǎng)頁為主要檢索對象，通過計算每個頁面的被鏈接的頻度和鏈接其它頁面的重要程度來決定查詢結果的排序。該算法基于“authrity”和“hub”
有權重概念，這兩個概念可以描述網(wǎng)頁在網(wǎng)絡中的影響力，分別表示該網(wǎng)頁在某個領域的權威程度和其鏈接的重要性。簡而言之，權威頁面是指擁有很多高質(zhì)量鏈接的頁面，而活躍頁面則指擁有很多高質(zhì)量鏈接的頁面，它們可以在網(wǎng)絡吸引到更多瀏覽者。

HITS算法依基于兩個基本元素：基于輸入計算出的權重和輸出給出的權重，用來計算每一網(wǎng)頁的重要性，也可以用來衡量網(wǎng)絡上不同頁面鏈接的重要性。HITS算法通過對網(wǎng)絡進行逐步迭代，來計算每個頁面的權威程度及其Mining后的重要程度。在每一次迭代中，權威頁面的權重由其上一輪的權重和指向它的鏈接的權重共同決定，活躍頁面的權重也是由其上一輪的權重和指由它發(fā)出的鏈接的權重共同決定的。采用此算法，可以在網(wǎng)絡上尋找擁有最高重要性的節(jié)點來代表該網(wǎng)絡，這樣就可以有效地改善搜索結果的質(zhì)量。

Public @ 2023-02-25 06:00:02 整理自網(wǎng)絡ChatGPT產(chǎn)生之內(nèi)容，文本內(nèi)容不具備參考意義，程序內(nèi)容有且僅有借鑒意義。

最早了解李彥宏超鏈分析專利是在洪波的博客中看到一篇文章：超鏈分析和PageRank的專利問題，才第一次知道百度總裁李彥宏曾經(jīng)申請并獲得對于超鏈接分析的專利，這份專利申請文件在美國專利局網(wǎng)站看到。李彥宏這個專利申請是在Google申請他們自己的PageRank專利之前的。由于這兩份專利都是研究網(wǎng)頁鏈接的，而且這兩個專利的發(fā)明人是現(xiàn)在兩大搜索引擎的創(chuàng)始人，所以很多人對這兩個技術專利分不大清楚。甚至有的

Public @ 2012-05-15 15:39:01

HITS算法

威海鏈接原理威海HITS算法
2759

HITS 算法是由康奈爾大學( Cornell University ) 的Jon Kleinberg 博士于1997 年首先提出的,為IBM 公司阿爾馬登研究中心( IBM Almaden Research Center) 的名為“CLEVER”的研究項目中的一部分。英文全稱Hyperlink-Induced Topic Search算法由來HITS 算法是由康奈爾大學( Cornell Uni

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

HITS算法

威海鏈接原理威海HITS算法
2851

HITS算法是一種采用迭代計算的網(wǎng)絡算法，用于計算網(wǎng)絡中節(jié)點的權重。該算法主要用于網(wǎng)絡信息檢索等計算技術。HITS算法與傳統(tǒng)的關鍵詞檢索不同，關鍵詞檢索是以詞語為基礎，以文檔為主要檢索對象，結果通過匹配檢索關鍵詞的文檔及其相關性程序來返回結果。而HITS算法則是以鏈接為基礎，以網(wǎng)頁為主要檢索對象，通過計算每個頁面的被鏈接的頻度和鏈接其它頁面的重要程度來決定查詢結果的排序。該算法基于“authr

Public @ 2023-02-25 06:01:28

HITS鏈接分析算法

威海鏈接原理威海HITS算法
2797

HITS(Hyperlink - Induced Topic Search)鏈接分析算法誕生在1997年，該算法是由康奈爾大學中的一位博士提出，并且該算法沿用于全球多個搜索引擎當中。當然，不同的搜索引擎針對于該算法的側重點和內(nèi)部公式都有不一的算法結構調(diào)整，并且HITS算法也是鏈接分析中最為重要的基礎算法之一。對于目前國內(nèi)的整體搜索引擎而言，百度作為國內(nèi)的搜索引擎領頭羊，我會帶著HITS的公開文檔針

Public @ 2009-11-28 15:39:11

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[ DB ] CONNECT:[ UseTime:0.024717s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_chatgpt` [ RunTime:0.017672s ]
[ SQL ] SELECT * FROM `ob_chatgpt` WHERE `id` = 360 LIMIT 1 [ RunTime:0.016904s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_chatgpt', '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:0.016990s ]
[ 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:0.017184s ]
[ 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:0.018269s ]
[ 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_chatgpt` WHERE `id` = 360 LIMIT 1 [ RunTime:0.016638s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_chatgpt', 'type' => 'const', 'possible_keys' => 'PRIMARY', 'key' => 'PRIMARY', 'key_len' => '4', 'ref' => 'const', 'rows' => 1, 'extra' => NULL, ) ]
[ SQL ] update `ob_chatgpt` set views=views+2 where id=360 [ RunTime:0.016588s ]
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.017695s ]
[ 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:0.023696s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, '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:0.034069s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海HITS算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.023596s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海HITS算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.041126s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 9562, 'extra' => 'Using where; Using temporary; Using filesort', ) ]

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HITS算法

李彥宏超鏈分析和Google PR專利的區(qū)別

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