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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

我不确定这是事实。作为AI语言模型，我没有能力获取即时新闻或事件上的信息。请向百度官方或其他可靠媒体平台查证相关信息。

Public @ 2023-05-25 22:00:04

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2013-2019-百度搜索算法大盘点——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2013-2019-2.用户需求满足

2.用户需求满足2.1 《百度搜索网页标题规范》——严惩网页标题作弊2017年9月，百度搜索发布清风算法，严惩网站通过网页标题作弊，欺骗用户并获得点击的行为；从而保证搜索用户体验，促进搜索生态良性发展。2018年11月，百度搜索针对网页标题作弊行为发布《百度搜索网页标题规范》，对搜索生态下的网页标题进行了严格的规范和要求。不符合《百度搜索网页标题规范》的站点，将会被清风算法1.0覆盖，受到限制搜索

Public @ 2011-10-17 15:21:26

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[ DB ] CONNECT:[ UseTime:0.028287s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.020222s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 9489 LIMIT 1 [ RunTime:0.024723s ]
[ 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:0.019377s ]
[ 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:0.019660s ]
[ 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:0.019742s ]
[ 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` = 9489 LIMIT 1 [ RunTime:0.018931s ]
[ 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=9489 [ RunTime:0.019904s ]
[ 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:0.026298s ]
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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:0.036613s ]
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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:0.026292s ]
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[ SQL ] SELECT * 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 ORDER BY rand() LIMIT 0,2 [ RunTime:0.045402s ]
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