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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

百度搜索持续与有损用户体验的落地页广告作战

近年来，百度搜索持续与有损用户体验的落地页广告进行着激烈的“作战”。落地页广告，即用户点击搜索结果后进入的广告页面，其常见的特点是过度的广告推销和跳转，大量的信息收集和强制订阅等行为，不仅浪费了用户的时间和精力，还影响了用户体验和搜索品质，甚至带来一些不良影响。面对这一现象，百度搜索积极推出了多项措施。一方面，加强了对落地页广告的管理和审核，对违规广告进行封禁和处罚，提升了搜索品质和用户保

Public @ 2023-06-14 08:00:35

2016百度搜索算法大盘点

站长平台VIP大讲堂活动圆满落幕，本次VIP大讲堂作为2016年底收官巨献，院长亲自主讲百度2016搜索算法盘点，下面就来参观下院长风采，哦不我们来一起学习下算法分析。贴心文字：蓝天算法：为还时效性新闻源一片清澈蓝天，蓝天算法应运而生；蓝天算法主要打击新闻源站点售卖软文、目录行为。本次算法判罚力度世上最强，对于问题站点从抓取端、展示端连环处罚，对售卖软文、目录的行为决不手软冰桶算法4.5部分恶劣站

Public @ 2022-05-02 15:21:31

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，百度在搜索算法方面一直处于领先地位。从2013年到2019年，百度搜索算法不断地升级，优化，以提供更加精准、有用的搜索结果。本篇文章将对百度搜索算法的重要变化进行回顾和梳理，以期帮助网站优化人员了解当前百度搜索的规则和趋势。同时，本文也会提供一些最新的网站优化策略，旨在帮助您的网站更好地排名。无论是网站优化从业者，还是网站主人，都应该关注和了解百度搜索算法的变化

Public @ 2023-04-23 05:50:08

百度搜索算法大盘点2013-2019-1.网站内容质量

百度搜索算法大盘点2013-2019-1.网站内容质量作为目前中国互联网搜索引擎市场的最大玩家，百度一直在努力完善自己的搜索算法，为用户提供更准确、更优质的搜索结果。在过去的几年里，百度的搜索算法不断升级、调整，以适应不断变化的互联网环境和用户需求，其中网站内容质量也是搜索算法更新的重点之一。本文将对百度搜索算法2013年至2019年的网站内容质量进行盘点。 2013年：网站内容质量成第一排

Public @ 2023-06-02 17:01:04

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.020936s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.015549s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 9489 LIMIT 1 [ RunTime:0.014608s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='cate' order by times desc limit 15 [ RunTime:0.014509s ]
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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:0.014853s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.015011s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 9489 LIMIT 1 [ RunTime:0.014183s ]
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[ SQL ] update `ob_article` set views=views+2 where id=9489 [ RunTime:0.016953s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海百度搜索算法大盘点2013-2019' AND `status` <> -1 LIMIT 1 [ RunTime:0.039395s ]
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