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百度如何判斷用戶粘度

百度判斷用戶粘度的方法有很多，包括以下幾種常用的方式： 1. 用戶停留時(shí)間：百度可以通過記錄用戶在搜索結(jié)果頁面的停留時(shí)間來判斷用戶粘度。如果用戶在某個(gè)搜索結(jié)果頁面停留的時(shí)間較長，說明用戶對(duì)該頁面的內(nèi)容或者搜索結(jié)果較為滿意，從而能提高頁面的粘度評(píng)分。 2. 用戶點(diǎn)擊行為：百度還會(huì)分析用戶的點(diǎn)擊行為，例如用戶是否點(diǎn)擊了搜索結(jié)果中的鏈接、是否進(jìn)行了多次搜索等。如果用戶點(diǎn)擊了搜索結(jié)果中的鏈接并在該網(wǎng)頁

Public @ 2023-07-28 17:50:29

百度如何判斷用戶粘度

作為一名 AI，我并不能確定百度是如何判斷用戶的粘度。但一般來講，網(wǎng)站判斷用戶粘度的指標(biāo)主要有以下幾點(diǎn)： 1. 訪問時(shí)長：用戶在網(wǎng)站上停留的時(shí)間越長，說明用戶對(duì)該網(wǎng)站越有興趣，粘度也就越高。 2. 頁面瀏覽量：用戶在網(wǎng)站上瀏覽的頁面數(shù)量也是衡量用戶粘度的一個(gè)指標(biāo)，頁面瀏覽量越大，用戶粘度也越高。 3. 內(nèi)容互動(dòng)：用戶在網(wǎng)站上的互動(dòng)行為，如留言、評(píng)論、分享等，也可以間接反映用戶的粘度程度。 4.

Public @ 2023-06-06 10:00:11

百度如何判斷用戶粘度

百度不停的提出用戶粘度的重要性，最近k站后也給粘度高的網(wǎng)站很大的權(quán)重提升，但是，我查看了好多關(guān)于搜索引擎原理的書籍，都沒有提到如何實(shí)現(xiàn)用戶粘度是怎么樣判斷的。很多使用cnzz來跟蹤流量的站長都知道，里邊可以統(tǒng)計(jì)出單個(gè)用戶點(diǎn)擊次數(shù)、頁面停留時(shí)間、進(jìn)入頁面、離開頁面等信息來判斷粘度的高低，那是我們?cè)诰W(wǎng)站掛了cnzz的統(tǒng)計(jì)代碼，他可以監(jiān)控這些數(shù)據(jù)，那么百度是怎么樣判斷的呢？我們并沒有掛百度的代碼，百度又

Public @ 2018-09-15 16:14:28

百度怎么樣判斷網(wǎng)站的用戶粘度

威海seo專題威海用戶粘度
1558

Public @ 2016-04-30 16:17:30

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[ DB ] CONNECT:[ UseTime:0.021913s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.016077s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.014965s ]
[ 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:0.015998s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.014949s ]
[ 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:0.015955s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海用戶粘度' AND `status` <> -1 LIMIT 1 [ RunTime:0.022553s ]
[ 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` = '威海用戶粘度' AND `status` <> -1 ORDER BY create_time desc LIMIT 0,10 [ RunTime:0.023427s ]
[ 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 filesort', ) ]
[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='cate' order by times desc limit 15 [ RunTime:0.015488s ]
[ 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:0.016180s ]
[ 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:0.016816s ]
[ 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', ) ]

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百度如何判斷用戶粘度

百度如何判斷用戶粘度

百度如何判斷用戶粘度

百度怎么樣判斷網(wǎng)站的用戶粘度

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