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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

百度搜索算法大盘点2013-2019-3.搜索恶意竞争

3.搜索恶意竞争3.1 惊雷算法2.0——打击流量作弊、超链作弊行为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，

Public @ 2011-01-26 15:21:25

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-2.用户需求满足

1. 搜索结果要与用户查询的关键词相关百度搜索算法中最重要的一个规范是，搜索结果必须要与用户的查询关键词相关联。这意味着搜索结果必须包含查询关键词，或与查询关键词有着密切的相关性。如果搜索结果与查询关键词没有任何关联，那么搜索引擎就不会将其视为有效的结果。 2. 搜索结果应满足用户的期望百度搜索算法的另一个重要规范是，搜索结果必须满足用户的期望。这意味着搜索引擎必须首先了解用户的意图，然

Public @ 2023-04-02 11:50:25

百度搜索算法规范详解-1.页面内容质量

1.页面内容质量1.1 飓风算法 3.0 ——针对页面内容质量问题百度搜索于2017年7月4日发布飓风算法，严厉打击恶劣采集问题，在2018年9月13日公布飓风算法升级为2.0版本，在2019年8月对飓风算法进行升级，上线飓风算法3.0。飓风算法主要针对以下页面内容质量问题：1.1.1 恶劣采集行为：（1）存在大量从其他站点、智能小程序或公众号等内容生产方采集、搬运而来的内容，信息未经整合，排版混

Public @ 2021-10-12 15:21:30

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[ DB ] CONNECT:[ UseTime:0.027983s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.019841s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7248 LIMIT 1 [ RunTime:0.018857s ]
[ 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:0.019140s ]
[ 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:0.019395s ]
[ 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:0.020516s ]
[ 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:0.018843s ]
[ 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+1 where id=7248 [ RunTime:0.019692s ]
[ 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:0.025662s ]
[ 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:0.038003s ]
[ 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:0.026219s ]
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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:0.044894s ]
[ 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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