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搜索引擎面临哪些问题

网页时效性：互联网上的用户众多，数据信息来源极广，互联网上的网页是呈实时动态变化的，网页的更新、删除等变动极为频繁，有时候会出现新更新的网页在爬虫程序还来不及抓取的时候却已经被删除的情况，这将大大影响搜索结果的准确性。

大数据存储问题：爬虫抓取的数据在经过预处理后数据量依然相当庞大，这给大数据存储技术带来相当大的挑战。当前大部分搜索引擎都是利用结构化的数据库来存储数据，结构化的数据库存储的数据具有高共享、低冗余等特点，然而由于结构化的数据库难以并发查询所以存在查询效率受限的问题。

检索结果可靠性：目前由于数据挖掘技术以及计算机硬件的限制使得数据处理准确度未能达到理想程度，而且由于一些个人或公司利用搜索引擎现有的漏洞通过作弊手段来干扰检索结果导致检索结果的可靠性可能会有损失。

Public @ 2013-08-22 16:22:54

整站未被收录或收录量太少怎么办？

请注册百度搜索资源平台http://ziyuan.baidu.com，绑定站点，如整站未收录或半年内收录≤10条则系统会通过弹窗发送“新站保护”通道，按照要求提交则可快速收录。

Public @ 2013-05-31 15:55:53

【官方说法】详谈百度快照前世今生

谈到百度快照，很多站长都很重视，快照的展示样式和内容也是站长们关注的重点；在过去一年中攻城狮们接收到很多站长的投诉反馈，主要集中在如下几个方面：1、快照的排版错乱问题，页面内容展示不全2、没有网页快照3、网页快照内容的更新问题4、网页已经死链，但快照仍然存在例如搜索『codercar.com』出来的百度快照截图，请注意红框部分的描述。这次学堂君请攻城狮来把百度快照的生成逻辑梳理下，详细给大家讲解下

Public @ 2011-09-09 15:34:25

搜索引擎发展历程

搜索引擎发展历程可以概括为以下几个阶段： 1. 早期搜索引擎（1990年代中期至2000年）早期搜索引擎主要以Yahoo!, Altavista, Infoseek等为代表，这些搜索引擎主要通过手动编辑和分类来整理互联网上的网站信息，然后利用关键词检索和匹配算法返回结果。 2. 搜索引擎优化（2000年至2005年）在早期搜索引擎的基础上，出现了搜索引擎优化（SEO）技术。通过对网站内

Public @ 2023-06-12 09:00:28

搜索引擎定义

搜索引擎是指根据一定的策略、运用特定的计算机程序从互联网上采集信息，在对信息进行组织和处理后，为用户提供检索服务，将检索的相关信息展示给用户的系统。搜索引擎是工作于互联网上的一门检索技术，它指在提高人们获取搜集信息的速度，为人们提供更好的网络使用环境。从功能和原理上搜索引擎大致被分为全文搜索引擎、元搜索引擎、垂直搜索引擎和目录搜索引擎等四大类。搜索引擎发展到今天

Public @ 2011-09-12 16:22:56

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基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.029798s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_config` [ RunTime:0.020966s ]
[ SQL ] SELECT * FROM `ob_config` [ RunTime:0.020089s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_config', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 25, 'extra' => NULL, ) ]
[ SQL ] SHOW COLUMNS FROM `ob_hook` [ RunTime:0.020788s ]
[ SQL ] SELECT `id`,`name`,`addon_list` FROM `ob_hook` [ RunTime:0.019960s ]
[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_hook', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 3, 'extra' => NULL, ) ]
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.021157s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 5434 LIMIT 1 [ RunTime:0.020141s ]
[ 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:0.020377s ]
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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:0.020602s ]
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[ SQL ] select * from `ob_article_tongji` where category_id=12 and mark_type='tags' order by rand() limit 30 [ RunTime:0.021066s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 5434 LIMIT 1 [ RunTime:0.020030s ]
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[ SQL ] update `ob_article` set views=views+1 where id=5434 [ RunTime:0.022608s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海了解搜索引擎' AND `status` <> -1 LIMIT 1 [ RunTime:0.027481s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海了解搜索引擎' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.042437s ]
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[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海搜索引擎' AND `status` <> -1 LIMIT 1 [ RunTime:0.027060s ]
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[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海搜索引擎' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.035986s ]
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