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百度移动搜索严厉打击强制用户调起APP行为

近年来，随着移动互联网的快速发展，一些APP厂商为了增加用户粘性和推广自己的产品，采取了一种强制用户调起APP的行为。这种行为严重侵犯了用户的权益，也影响了用户的体验。为了保护用户权益，百度移动搜索加强了对强制用户调起APP行为的打击力度。首先，百度移动搜索通过技术手段，对搜索结果中存在强制调起APP的网页进行标记，提醒用户该页面存在强制调起APP的行为。同时，百度移动搜索也对这些页面进行屏蔽，不再展示给用户，尽量减少用户受到强制调起APP的困扰。此外，百度移动搜索还与相关部门合作，加强了对强制调起APP行为的监测和处理。一旦发现有APP厂商存在强制调起APP的行为，百度移动搜索会及时进行处理，包括进行警告、暂停合作等措施，以确保用户的搜索体验不受到侵犯。百度移动搜索的严厉打击强制用户调起APP行为，旨在维护用户的权益和提升用户的搜索体验。作为一个搜索引擎平台，百度移动搜索将继续努力，净化搜索结果，为用户提供更好的搜索服务。

Public @ 2023-07-29 02:50:20

杜绝翻页诱导行为，百度搜索信风算法即将上线

百度搜索信风算法旨在杜绝翻页诱导行为，提升用户搜索体验和搜索结果的相关性。该算法将评估网页的内容和用户的搜索意图，以确定哪些网页具有翻页诱导行为。翻页诱导行为指的是网页为了增加页面浏览量而采取的一系列手段，例如强制用户点击“下一页”或“更多内容”按钮才能获取完整的信息。通过百度搜索信风算法，用户将更容易找到与其搜索意图相关的内容，而不会被翻页诱导行为所干扰。这将提高搜索结果的质量，减少用户的不

Public @ 2023-07-21 12:50:25

【专家专栏】百度极光算法的一点分享

百度搜索于5月底上线了极光算法，旨在倡导资源方重视网站落地页时间规范，让用户获得更满意的搜索浏览体验。百度将给予符合落地页时间因子要求且时效性较高的网页更多的收录、展现机会，同时减少不符合规定的网站的展现机会。百度之前推出了《百度搜索落地页时间因子规范》，开放对落地页时间因子的提取规范。今天，有请老朋友Mr. Xue来为我们解读一番，看看极光算法着眼所在。百度上线极光算法，咋一听起来，我以为是关于

Public @ 2019-04-02 15:21:32

百度搜索持续与有损用户体验的落地页广告作战

近年来，百度搜索持续与有损用户体验的落地页广告进行着激烈的“作战”。落地页广告，即用户点击搜索结果后进入的广告页面，其常见的特点是过度的广告推销和跳转，大量的信息收集和强制订阅等行为，不仅浪费了用户的时间和精力，还影响了用户体验和搜索品质，甚至带来一些不良影响。面对这一现象，百度搜索积极推出了多项措施。一方面，加强了对落地页广告的管理和审核，对违规广告进行封禁和处罚，提升了搜索品质和用户保

Public @ 2023-06-14 08:00:35

【官方说法】冰桶算法4.5更新：发力打击Landing Page恶劣广告行为

尊敬的各位站长，您好：近期，经过技术挖掘，我们发现部分网页通过色情动图、露骨文本、赌博等等吸引眼球的形态诱导用户点击非法广告，为了改善用户体验以及引导行业生态向积极健康的方向发展，百度搜索再次升级冰桶算法，将针对发布恶劣诱导类广告的页面进行打击，降低其在百度搜索系统中的评价。在此提醒各位站长，请尽快下线恶劣的诱导类广告，以免被策略命中影响网站排序。同时，百度站长平台反馈中心已开辟恶劣广告举报入口。

Public @ 2017-01-27 15:21:49

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[ DB ] CONNECT:[ UseTime:0.019993s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.014048s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.013665s ]
[ 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:0.014633s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.013329s ]
[ 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:0.014269s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 10077 LIMIT 1 [ RunTime:0.013501s ]
[ 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:0.015881s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.018191s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.014440s ]
[ 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` = 10077 LIMIT 1 [ RunTime:0.013507s ]
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[ SQL ] update `ob_article` set views=views+2 where id=10077 [ RunTime:0.014297s ]
[ 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:0.022735s ]
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[ 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:0.032174s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海冰桶算法' AND `status` <> -1 LIMIT 1 [ RunTime:0.021222s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海冰桶算法' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.030218s ]
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