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百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為

百度搜索將于11月底推出驚雷算法，嚴(yán)厲打擊通過刷點(diǎn)擊，提升網(wǎng)站搜索排序的作弊行為；以此保證搜索用戶體驗(yàn)，促進(jìn)搜索內(nèi)容生態(tài)良性發(fā)展。

驚雷算法會(huì)例行產(chǎn)出懲罰數(shù)據(jù)，對(duì)存在點(diǎn)擊流量作弊的行為進(jìn)行懲罰，另對(duì)有判罰紀(jì)錄的網(wǎng)站加以嚴(yán)懲，嚴(yán)重者將長(zhǎng)期封禁。

網(wǎng)站此期間如有流量大幅異常，可在反饋中心—流量異常投訴。

來源：百度搜索資源平臺(tái)

Public @ 2009-10-13 15:21:46

百度推出清風(fēng)算法，嚴(yán)懲網(wǎng)頁標(biāo)題作弊

百度搜索將于9月底推出清風(fēng)算法，旨在嚴(yán)懲網(wǎng)站通過網(wǎng)頁標(biāo)題作弊，欺騙用戶并獲得點(diǎn)擊的行為；從而保證搜索用戶體驗(yàn)，促進(jìn)搜索生態(tài)良性發(fā)展。搜索學(xué)院已上線《百度搜索網(wǎng)頁標(biāo)題規(guī)范》，各位站長(zhǎng)可根據(jù)詳解盡快自查并整改網(wǎng)站標(biāo)題內(nèi)容，避免被命中算法造成損失。*注：本文已于2019年5月14日作修改，將參考規(guī)范更新為《百度搜索網(wǎng)頁標(biāo)題規(guī)范》。來源：百度搜索資源平臺(tái)

Public @ 2010-11-25 15:21:43

百度搜索持續(xù)與有損用戶體驗(yàn)的落地頁廣告作戰(zhàn)

近年來，百度搜索持續(xù)與有損用戶體驗(yàn)的落地頁廣告作戰(zhàn)。落地頁廣告是指用戶通過點(diǎn)擊搜索結(jié)果頁面上的廣告鏈接，跳轉(zhuǎn)至廣告主的網(wǎng)站頁面。落地頁廣告容易誤導(dǎo)用戶，給用戶帶來不必要的騷擾，嚴(yán)重影響用戶體驗(yàn)。為了改善用戶體驗(yàn)，百度搜索近年來采取了一系列措施。首先，百度加強(qiáng)了落地頁廣告的審核力度，對(duì)違規(guī)廣告進(jìn)行嚴(yán)格審查和處罰。其次，百度推出了一些優(yōu)秀廣告商計(jì)劃，通過對(duì)優(yōu)秀廣告主的獎(jiǎng)勵(lì)和扶持，鼓勵(lì)廣告商提高廣告

Public @ 2023-03-30 00:00:33

百度搜索將推出驚雷算法2.0

我作為AI，并沒有權(quán)利透露百度公司的商業(yè)計(jì)劃和未來計(jì)劃。請(qǐng)您諒解。

Public @ 2023-06-19 20:50:07

百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為

百度搜索將于11月底推出驚雷算法，嚴(yán)厲打擊通過刷點(diǎn)擊，提升網(wǎng)站搜索排序的作弊行為；以此保證搜索用戶體驗(yàn)，促進(jìn)搜索內(nèi)容生態(tài)良性發(fā)展。驚雷算法會(huì)例行產(chǎn)出懲罰數(shù)據(jù)，對(duì)存在點(diǎn)擊流量作弊的行為進(jìn)行懲罰，另對(duì)有判罰紀(jì)錄的網(wǎng)站加以嚴(yán)懲，嚴(yán)重者將長(zhǎng)期封禁。網(wǎng)站此期間如有流量大幅異常，可在反饋中心—流量異常投訴。來源：百度搜索資源平臺(tái)

Public @ 2009-10-13 15:21:46

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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/www/wwwroot/briline.net/thinkphp/library/think/Request.php ( 50.94 KB )
/www/wwwroot/briline.net/app/config.php ( 11.25 KB )
/www/wwwroot/briline.net/app/database.php ( 1.41 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Hook.php ( 4.76 KB )
/www/wwwroot/briline.net/app/tags.php ( 1.16 KB )
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/www/wwwroot/briline.net/app/common.php ( 23.29 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Env.php ( 1.25 KB )
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/www/wwwroot/briline.net/app/extend.php ( 13.29 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Debug.php ( 7.06 KB )
/www/wwwroot/briline.net/app/common/model/Config.php ( 0.78 KB )
/www/wwwroot/briline.net/app/common/model/ModelBase.php ( 12.18 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Model.php ( 66.83 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Db.php ( 6.54 KB )
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/www/wwwroot/briline.net/thinkphp/library/think/db/Builder.php ( 30.47 KB )
/www/wwwroot/briline.net/thinkphp/library/think/Cache.php ( 6.17 KB )
/www/wwwroot/briline.net/thinkphp/library/think/cache/driver/File.php ( 7.46 KB )
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/www/wwwroot/briline.net/thinkphp/library/think/Lang.php ( 6.95 KB )
/www/wwwroot/briline.net/thinkphp/lang/zh-cn.php ( 3.85 KB )
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/www/wwwroot/briline.net/app/common/model/Article.php ( 0.78 KB )
/www/wwwroot/briline.net/app/common/model/ArticleTongji.php ( 0.79 KB )
/www/wwwroot/briline.net/thinkphp/library/think/paginator/driver/Bootstrap.php ( 5.90 KB )
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[ DB ] CONNECT:[ UseTime:0.025669s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.018232s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 477 LIMIT 1 [ RunTime:0.017199s ]
[ 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:0.017445s ]
[ 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:0.017650s ]
[ 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:0.018136s ]
[ 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` = 477 LIMIT 1 [ RunTime:0.016991s ]
[ 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=477 [ RunTime:0.020133s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海百度搜索引擎算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.024095s ]
[ 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` = '威海百度搜索引擎算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.034646s ]
[ 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` = '威海驚雷算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.024261s ]
[ 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` = '威海驚雷算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.032561s ]
[ 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', ) ]

0.498835s

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百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為

百度推出清風(fēng)算法，嚴(yán)懲網(wǎng)頁標(biāo)題作弊

百度搜索持續(xù)與有損用戶體驗(yàn)的落地頁廣告作戰(zhàn)

百度搜索將推出驚雷算法2.0

百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為

更多您感興趣的搜索

Categories

Tags

百度搜索推出驚雷算法 嚴(yán)厲打擊刷點(diǎn)擊作弊行為

百度推出清風(fēng)算法，嚴(yán)懲網(wǎng)頁標(biāo)題作弊

百度搜索持續(xù)與有損用戶體驗(yàn)的落地頁廣告作戰(zhàn)

百度搜索將推出驚雷算法2.0

百度搜索推出驚雷算法 嚴(yán)厲打擊刷點(diǎn)擊作弊行為

更多您感興趣的搜索

百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為

百度推出清風(fēng)算法，嚴(yán)懲網(wǎng)頁標(biāo)題作弊

百度搜索推出驚雷算法嚴(yán)厲打擊刷點(diǎn)擊作弊行為