大主宰之灵路天蚕土豆,《完美世界》txt全集

HITS（Hyperlink-Induced Topic Search）是一種基于鏈接的搜索引擎排名算法，與其他排名算法如PageRank一樣，它的主要目的是將用戶查詢與集合的文檔匹配，使得最相關(guān)的文檔被檢索出來，排在前面。事實(shí)上，網(wǎng)頁根據(jù)網(wǎng)頁內(nèi)部和外部因素來排序。HITS算法包括兩個(gè)重要指標(biāo)：Authority和Hub，體現(xiàn)網(wǎng)頁的相關(guān)性，指導(dǎo)搜索引擎排序，即把相關(guān)性高的網(wǎng)頁排在前面。 HITS算法首先將網(wǎng)絡(luò)或文檔抽象為一個(gè)有向圖，稱為鏈接網(wǎng)絡(luò)。對于每個(gè)網(wǎng)頁，給出其作者（Authority）和鏈接（Hub）?；阪溄拥腍ITS算法使用一個(gè)簡單的迭代流程來更新Authority 和 Hub 指標(biāo)的值： 1.首先通過將Authority 分配給所有鏈接節(jié)點(diǎn)，計(jì)算每個(gè)Hub所具有的Authority 權(quán)重。 2.接著，將Hub值分配給每個(gè)鏈接節(jié)點(diǎn)，計(jì)算每個(gè)Authority所擁有的Hub權(quán)重 3.這個(gè)迭代過程一直持續(xù)下去，直到穩(wěn)定，也就是說，在計(jì)算Authority/Hub 的值的時(shí)候，其值改變的越來越小，這個(gè)閾值可以根據(jù)系統(tǒng)的需要來設(shè)定。 4.最后，將依據(jù)Authority/Hub 指標(biāo)值排序得到的結(jié)果作為搜索引擎的排序結(jié)果返回給用戶。 HITS算法有一定的局限性，其最大的缺點(diǎn)在于，HITS算法容易受垃圾鏈接（spam links）的影響。多數(shù)搜索引擎都在使用HITS算法前都要先審查排名結(jié)果，移除被標(biāo)記為垃圾鏈接的網(wǎng)頁，以確保搜索引擎的查詢結(jié)果的真實(shí)性和可靠性。

Public @ 2023-03-02 20:01:00

世上本沒有百度pagerank和權(quán)重

百度站長平臺的同學(xué)在與站長交流中，經(jīng)常被問“去哪里查百度pagerank”“百度權(quán)重是怎么算的”諸如此類的問題。針對此，百度站長平臺正式發(fā)出公告：百度pagerank、百度權(quán)值是不存在的！那么，百度通過什么來判斷網(wǎng)站價(jià)值呢？百度搜索引擎認(rèn)為同一網(wǎng)站在不同場景、不同需求時(shí)所體現(xiàn)的價(jià)值是不同的，用一個(gè)固定的數(shù)值去體現(xiàn)網(wǎng)站價(jià)值既不科技也不嚴(yán)謹(jǐn)。百度搜索引擎的確有一套衡量網(wǎng)站價(jià)值的打分體系，由近百種策略組

Public @ 2017-12-26 15:35:10

HITS算法

威海鏈接原理威海HITS算法
2847

HITS算法是一種采用迭代計(jì)算的網(wǎng)絡(luò)算法，用于計(jì)算網(wǎng)絡(luò)中節(jié)點(diǎn)的權(quán)重。該算法主要用于網(wǎng)絡(luò)信息檢索等計(jì)算技術(shù)。HITS算法與傳統(tǒng)的關(guān)鍵詞檢索不同，關(guān)鍵詞檢索是以詞語為基礎(chǔ)，以文檔為主要檢索對象，結(jié)果通過匹配檢索關(guān)鍵詞的文檔及其相關(guān)性程序來返回結(jié)果。而HITS算法則是以鏈接為基礎(chǔ)，以網(wǎng)頁為主要檢索對象，通過計(jì)算每個(gè)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(jié)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(xué)中的一位博士提出，并且該算法沿用于全球多個(gè)搜索引擎當(dāng)中。當(dāng)然，不同的搜索引擎針對于該算法的側(cè)重點(diǎn)和內(nèi)部公式都有不一的算法結(jié)構(gòu)調(diào)整，并且HITS算法也是鏈接分析中最為重要的基礎(chǔ)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(lǐng)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:0.023292s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.015915s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 6178 LIMIT 1 [ RunTime:0.015080s ]
[ 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:0.015359s ]
[ 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:0.015589s ]
[ 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:0.016049s ]
[ 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` = 6178 LIMIT 1 [ RunTime:0.015064s ]
[ 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=6178 [ RunTime:0.015810s ]
[ 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:0.022322s ]
[ 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:0.031856s ]
[ 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:0.022331s ]
[ 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:0.038480s ]
[ 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鏈接分析算法

最新Google排名算法專利

世上本沒有百度pagerank和權(quán)重

HITS算法

HITS鏈接分析算法

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