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百度搜索算法规范详解-2.用户需求满足

百度搜索算法的一个重要目标就是满足用户的需求，因此在排名网页时，用户满意度是一项非常关键的考量因素。以下是一些常见的用户需求，以及百度如何满足这些需求。 1. 信息查询：用户在搜索时希望能够找到相关的信息。百度会根据用户输入的关键词，匹配相关的网页，并且排名更优质的网页更靠前，以便用户快速找到有用信息。 2. 商品购买：有些用户在搜索时是希望购买商品的，而不仅仅是查询信息。为了满足这类用户的需求，百度会推荐相关的商品信息，并且为用户提供购买链接。 3. 地点、时间等查询：有些用户在搜索时需要查询地点、时间等信息。百度会根据用户输入的关键词，匹配相关的网页，并且排名更准确、更有用的网页更靠前。 4. 服务查询：有些用户在搜索时希望找到某些服务，例如快递、机票等服务。百度会推荐相关的服务信息，并且为用户提供服务链接。除了以上几种需求，还有很多其他种类的用户需求，例如视频观看、游戏下载等等。百度会根据不同的需求，为用户提供更加贴切和准确的搜索结果，以提高用户满意度。

Public @ 2023-04-15 06:50:20

【官方说法】“闪电算法”解读

公告内容2017年10月初，“闪电算法”上线，移动搜索页面首屏加载时间将影响搜索排名。移动网页首屏在2秒之内完成打开的，在移动搜索下将获得提升页面评价优待，获得流量倾斜；同时，在移动搜索页面首屏加载非常慢（3秒及以上）的网页将会被打压。要点解读1、闪电算法的意义百度用户体验部研究表明，用户期望且能够接受的页面加载时间在3秒以内。若页面的加载时间过慢，用户就会失去耐心而选择离开，这对用户和站长来说都

Public @ 2023-01-31 15:21:52

【官方说法】清风算法2.0欺骗下载算法解读

清风算法2.0是清风网络研发的一款高效智能的欺骗性下载算法，旨在提高网络下载流量安全系统的安全性和效率。清风算法2.0采用多种技术来决断用户是否是恶意攻击者，以便服务器可以有针对性地定义防护策略。比如说可以根据终端客户端的浏览模式和下载行为历史，来判断用户有没有做过有害攻击活动。在外部攻击方面，清风算法2.0自动识别外部攻击IP，并将其加入黑名单，以防止后续的攻击活动。同时，系统还支持

Public @ 2023-03-04 14:48:24

百度搜索算法规范详解-4.搜索公正及用户安全

4.1 惊雷算法2.0 ——针对恶意刷点击问题为了保证搜索用户体验，促进搜索生态良性发展，2017年11月，百度搜索发布惊雷算法，严厉打击刷网站点击的作弊行为。2018年5月，惊雷算法升级至2.0版本。当前，惊雷算法2.0主要针对“恶意制造作弊超链”和“恶意刷点击”的作弊行为。针对作弊的网站，将会受到限制搜索展现、清洗作弊链接、清洗点击的处理，并会将站点作弊行为计入站点历史，严重者将永久封禁。关于

Public @ 2010-04-09 15:21:28

百度搜索算法规范详解-4.搜索公正及用户安全

搜索公正搜索算法的公正性指搜索引擎能够无偏地展现搜索结果，不被任何利益干扰，价值观中立。搜索公正是保障搜索用户利益与期望的基础。为确保搜索公正，百度对搜索结果排序进行严格的监控与细致的调整，包括但不限于以下方面： 1.反作弊系统：反作弊系统通过从多个角度审视网页内容与链接，发现并打击各种作弊行为，保证搜索结果的质量和权威性。 2.人工质检：百度有专业的人工质检团队，对搜索结果进行人工审

Public @ 2023-04-06 19:01:13

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.022374s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.015998s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7248 LIMIT 1 [ RunTime:0.015211s ]
[ 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:0.015438s ]
[ 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:0.015642s ]
[ 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:0.016148s ]
[ 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` = 7248 LIMIT 1 [ RunTime:0.015066s ]
[ 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=7248 [ RunTime:0.017316s ]
[ 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:0.022004s ]
[ 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:0.033002s ]
[ 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` = '威海百度搜索算法规范详解' AND `status` <> -1 LIMIT 1 [ RunTime:0.022043s ]
[ 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` = '威海百度搜索算法规范详解' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.031405s ]
[ 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', ) ]

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