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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

百度算法更新大全（更新至2021年4月）

前些天曾经感慨，Google和百度对待SEO的态度近些年调了个个。自从Matt Cutts离开Google后，Google对算法调整问题越来越遮遮掩掩。百度正相反，近两年公布了不少正式命名的算法调整，四处开沟通会，一片忙碌景象。盘点一下百度官方公布过的算法更新，数量不少，信息散落在百度资源平台各处，集中在这里，省得以后记不住，其实现在已经记不住了，读者们也可以做个参考。以后有百度官方命名的更新，会

Public @ 2015-10-22 15:26:43

百度搜索算法规范详解-1-引言

百度搜索算法是百度搜索引擎为了更好的实现用户查询意图，提供最精准的查询结果，而进行的一系列的算法处理。根据用户的查询意图，百度能够匹配出最接近的查询结果，达到搜索更加广泛，结果更加精准的目的。百度搜索算法主要有索引算法、聚类算法和拼写检查算法等。索引算法是百度搜索引擎的核心算法，它能够在搜索引擎无限索引大量信息后，根据查询意图将索引结果按照词频、普及率和用户点击率排序返回到用户搜索结果中。

Public @ 2023-03-01 19:48:36

百度搜索将推出冰桶算法5.0，保障搜索用户体验

据悉，百度搜索团队将推出最新的搜索算法——“冰桶算法5.0”，以保障用户搜索体验。该算法主要优化了搜索结果的排序和推荐，更加注重搜索结果的准确性和相关性，同时也增加了对搜索结果的多样性和个性化推荐。 “冰桶算法5.0”基于百度搜索过去几年的技术积累和数据分析，结合了人工智能、机器学习等技术手段，可以更加精准地理解用户的搜索意图，帮助用户快速获得满足需求的搜索结果。此外，该算法还优化了海量搜索数据

Public @ 2023-04-05 22:50:26

【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

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[ DB ] CONNECT:[ UseTime:0.022721s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.017391s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.015368s ]
[ 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:0.016321s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.015259s ]
[ 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:0.016248s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 10077 LIMIT 1 [ RunTime:0.015249s ]
[ 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:0.015528s ]
[ 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:0.015729s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.015847s ]
[ 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:0.015139s ]
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[ SQL ] update `ob_article` set views=views+1 where id=10077 [ RunTime:0.018374s ]
[ 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:0.022007s ]
[ 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:0.041888s ]
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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:0.021811s ]
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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:0.031759s ]
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