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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

严厉打击恶意劫持百度移动搜索推出烽火算法2.0

一直以来，百度搜索对于危害用户隐私、恶意劫持站点的行为态度坚定，一经发现一律严惩。2017年2月，百度搜索发出针对恶意劫持行为的公告：《打击劫持百度移动搜索推出烽火计划》，主要是严惩恶意劫持的行为。近期，百度搜索即将上线烽火算法2.0，将严惩“窃取用户数据”和“恶意劫持”的行为。烽火算法2.0 主要针对以下两类问题，还请站长们关注：1. 未经用户允许恶意窃取用户手机号码等隐私数据的行为。2. 恶

Public @ 2013-10-11 15:21:48

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-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

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

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.025219s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.018242s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7248 LIMIT 1 [ RunTime:0.017094s ]
[ 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:0.017322s ]
[ 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:0.017384s ]
[ 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:0.017669s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7248 LIMIT 1 [ RunTime:0.016956s ]
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[ SQL ] update `ob_article` set views=views+2 where id=7248 [ RunTime:0.017765s ]
[ 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:0.024310s ]
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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:0.044379s ]
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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:0.028579s ]
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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:0.042926s ]
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