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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

【官方说法】细雨算法2.0解读

11月7日，我们发布了《针对B2B领域低质内容，细雨算法即将升级》的官方公告。为了帮助广大开发者更好地理解细雨算法2.0的内容，对网站进行优化，针对此次算法升级中的细节内容，我们给出了说明及引导，请广大开发者参考。本次细雨算法升级主要针对以下两类问题：一、恶劣违规内容类型1：页面存在恶劣采集内容详细说明：（1）页面内容大量采集自互联网，内容拼接混乱，可读性差；（2）页面内容有明显的采集痕迹，包括失

Public @ 2010-07-12 15:21:39

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

冰桶算法4.5更新是为了打击Landing Page恶劣广告行为，提高广告质量和用户体验。该更新主要包括以下内容： 1. 改变广告排名方式，将平均质量分作为排名因素之一，以提高广告质量。 2. 优化检测算法，更有效地识别和屏蔽低质量Landing Page，降低用户受到的不良广告影响。 3. 完善广告审核机制，加强对广告内容和Landing Page的审核，避免包含欺诈、虚假或低质量信息的广

Public @ 2023-06-13 05:50:12

百度冰桶算法再升级：4.0强势登场

百度冰桶算法是一种搜索引擎算法，用于提高搜索结果的质量和相关性。该算法于2014年推出，旨在打击低质量内容和非自然链接。随着搜索引擎技术的不断发展和用户需求的变化，百度冰桶算法已经升级到了4.0版本，这一版本主要针对以下几个方面进行了优化： 1. 改进对搜索意图的理解百度冰桶4.0算法通过深度学习和人工智能技术，更好地理解用户的搜索意图，从而提供更相关、更精准的搜索结果。例如，当用户搜索

Public @ 2023-04-04 06:50:20

百度搜索持续与有损用户体验的落地页广告作战

百度搜索持续与有损用户体验的落地页广告作战，这些落地页广告经常会出现在搜索结果页面中，误导用户点击，影响用户体验。百度搜索不断加强对这些广告的管理和打击力度，通过技术手段防止和清除恶意广告，同时提升用户反馈机制，让用户可以更直接地向百度反馈不良广告。此外，百度还加强了对广告主的审核和管理，严格规范广告行业的运营行为，保护用户利益。

Public @ 2023-06-21 14:50:11

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[ DB ] CONNECT:[ UseTime:0.020821s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.015100s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.014160s ]
[ 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:0.014946s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.014139s ]
[ 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:0.015094s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 10077 LIMIT 1 [ RunTime:0.027913s ]
[ 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:0.014372s ]
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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:0.014564s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.014771s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 10077 LIMIT 1 [ RunTime:0.014110s ]
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[ SQL ] update `ob_article` set views=views+1 where id=10077 [ RunTime:0.016839s ]
[ 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:0.020953s ]
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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:0.038502s ]
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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:0.021055s ]
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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:0.030141s ]
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