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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

搜索某关键词，我的网页在搜狗的排序位置，和在其他搜索引擎的差异非常大，这正常吗？

这是正常的，各搜索引擎的搜索结果排序方式都是不一样的，有自己独特的计算方式，因此搜索某个关键词，每个搜索引擎出来的排序结果可能会有一定的差异。这就是造成排序差异的原因。

Public @ 2023-02-24 05:00:09

我的网站更新了，可是百度收录的内容还没更新怎么办？

百度会定期自动更新所有网页（包括去除死链接，更新域名变化，更新内容变化）。因此请耐心等一段时间，您的网站上的变化就会被百度察觉并修正。

Public @ 2009-07-25 15:55:50

搜索引擎发展历程

搜索引擎是伴随互联网的发展而产生和发展的，互联网已成为人们学习、工作和生活中不可缺少的平台，几乎每个人上网都会使用搜索引擎。搜索引擎大致经历了四代的发展： 1、第一代搜索引擎1994年第一代真正基于互联网的搜索引擎Lycos诞生，它以人工分类目录为主，代表厂商是Yahoo，特点是人工分类存放网站的各种目录，用户通过多种方式寻找网站，现在也还有这种方式存在。 2、第二代搜索引擎

Public @ 2009-09-09 16:22:56

搜索引擎分类

搜索方式是搜索引擎的一个关键环节，大致可分为四种：全文搜索引擎、元搜索引擎、垂直搜索引擎和目录搜索引擎，它们各有特点并适用于不同的搜索环境。所以，灵活选用搜索方式是提高搜索引擎性能的重要途径。全文搜索引擎是利用爬虫程序抓取互联网上所有相关文章予以索引的搜索方式；元搜索引擎是基于多个搜索引擎结果并对之整合处理的二次搜索方式；垂直搜索引擎是对某一特定行业内数据进行快速检索的一种专业搜索方式；目录搜索引

Public @ 2009-09-30 16:22:55

更多您感兴趣的搜索

基本文件流程错误 SQL 调试

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[ DB ] CONNECT:[ UseTime:0.023063s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.016301s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 5434 LIMIT 1 [ RunTime:0.015578s ]
[ 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:0.015785s ]
[ 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:0.015952s ]
[ 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:0.016137s ]
[ 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` = 5434 LIMIT 1 [ RunTime:0.015442s ]
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[ SQL ] update `ob_article` set views=views+2 where id=5434 [ RunTime:0.017788s ]
[ 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:0.022160s ]
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[ EXPLAIN : array ( 'id' => 1, 'select_type' => 'SIMPLE', 'table' => 'ob_article', 'type' => 'ALL', 'possible_keys' => NULL, 'key' => NULL, 'key_len' => NULL, 'ref' => NULL, 'rows' => 8035, 'extra' => 'Using where; Using temporary; Using filesort', ) ]
[ 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:0.022877s ]
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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:0.034815s ]
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0.445589s

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