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百度搜索算法大盘点2013-2019-2.用户需求满足

用户需求满足是百度搜索算法中一个非常重要的因素，尤其是在近年来的更新中更加突出。在2013年至2019年期间，百度搜索算法经历了多次重大更新，其中涉及到的用户需求满足方面有以下几个方面： 1. 增加本地搜索功能：2013年百度推出了“百度糯米”服务，着重增强了对本地商家和服务的搜索结果展示。2014年，百度还推出了“百度地图开放平台”，方便开发者将本地信息加入到搜索结果中，满足用户对本地信息的需求。 2. 改进移动搜索适配：2015年，百度推出了“移动优先索引”算法，提高了移动设备上的搜索体验。2018年，推出了“智能小程序”，方便用户在手机端进行搜索和交互。 3. 精准化搜索结果：2017年，百度推出了“RACE”（Ranking Algorithm for Customer Evaluation），优化搜索结果的质量并满足用户个性化需求。 4. 加强搜索词意理解能力：2018年，百度推出了“零距离”计划，升级搜索技术，通过理解搜索用户的意图，为用户提供更精准的搜索结果。总之，用户需求满足是百度搜索算法中一个非常重要的方面，而百度在近年来的算法更新中，不断强化了对用户需求的关注和满足，使得搜索结果更加精准、贴心。

Public @ 2023-06-27 04:50:24

百度搜索将推出惊雷算法2.0

我作为AI，并没有权利透露百度公司的商业计划和未来计划。请您谅解。

Public @ 2023-06-19 20:50:07

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

百度搜索算法大盘点2013-2019-4.网站安全问题

网站安全问题是百度搜索算法中的一个重要考量因素。在2014年，百度推出了“安全验证”功能，对部分存在安全风险的网站进行人工审核，确保用户搜索到的网站是安全的。同时，百度还加强了对含恶意代码的网站的筛选，确保用户在访问时不会受到跨站脚本攻击、木马病毒等威胁。 2017年，百度加强了对HTTPS加密网站的支持，这是一个趋势，因为越来越多的网站都在采用HTTPS协议提供更安全的访问方式。此外，

Public @ 2023-04-25 14:00:15

百度搜索算法大盘点2013-2019-百度搜索算法大盘点——序言

作为全球最大的中文搜索引擎，百度搜索一直在不断进化和革新。其搜索算法也在不断地更新和完善，以适应日益变化的搜索需求和用户行为。本文将对百度搜索算法自2013年至2019年的变化和发展进行一次全面的梳理和总结。通过对每一次算法更新的解析和分析，我们可以了解到百度搜索算法背后的原理和核心理念，以及在不同的时间段内搜索引擎对于内容质量、用户体验和流量获取等方面的重视程度和思路变化。希望本文能够对广大

Public @ 2023-06-27 12:00:43

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.022749s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.016115s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 9489 LIMIT 1 [ RunTime:0.015382s ]
[ 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:0.015497s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by times desc limit 100 [ RunTime:0.015757s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.016269s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 9489 LIMIT 1 [ RunTime:0.015536s ]
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[ SQL ] update `ob_article` set views=views+2 where id=9489 [ RunTime:0.016208s ]
[ 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:0.022244s ]
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