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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

百度搜索算法规范详解-3.用户体验友好

一、概述用户体验友好是百度搜索算法中的一个重要考虑因素。在搜索结果页面中，用户要能够快速地找到他们所需要的信息，并且能够轻松地进行交互操作。因此，为了提高用户体验，百度搜索算法需要关注以下方面： 1.搜索结果页的排版 2.搜索结果的相关性与有效性 3.返回结果的速度二、搜索结果页的排版搜索结果页的排版直接影响用户浏览和使用的难易程度。百度搜索算法会根据搜索关键词的不同，调整搜索结

Public @ 2023-06-11 15:50:29

惊雷算法3.0升级上线持续打击刷点击作弊行为

为维护广大开发者的权益，促进移动生态的良性发展，百度搜索于1月中旬推出了惊雷算法3.0，并持续扩大算法的影响力。本次升级严厉打击通过伪造用户行为来试图提升网站搜索排序的作弊行为。相对于惊雷算法2.0，本次算法有四个主要升级点：1、加强了对作弊行为的识别；2、加大了对作弊站点的打击力度；3、扩大了算法的覆盖范围；4、对违规行为较严重的领域（如：汽车、下载、招聘、B2B、网站SEO等）进行了针对性的打

Public @ 2009-06-26 15:21:44

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

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

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

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[ DB ] CONNECT:[ UseTime:0.035107s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.024707s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7248 LIMIT 1 [ RunTime:0.023742s ]
[ 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:0.024016s ]
[ 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:0.024147s ]
[ 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:0.024526s ]
[ 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:0.023446s ]
[ 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:0.024351s ]
[ 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:0.031112s ]
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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:0.044850s ]
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[ 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:0.030776s ]
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[ 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:0.039483s ]
[ 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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