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數(shù)據(jù)分析：如何追蹤訪客初始來源

追蹤訪客初始來源是非常重要的，因為它可以幫助你了解哪些渠道可以為你的網(wǎng)站帶來最多的流量和轉化。以下是一些跟蹤訪客初始來源的方法： 1. Google Analytics：使用Google Analytics可以輕松地追蹤訪客從哪個渠道進入你的網(wǎng)站，比如有機搜索、付費廣告、社交媒體、電子郵件或直接輸入URL。 2. UTM參數(shù)：使用UTM參數(shù)可以追蹤特定的營銷活動，比如電子郵件、社交媒體廣告或Google AdWords廣告。通過在URL后面添加特定的UTM參數(shù)，你可以知道訪問者是通過哪種廣告或郵件來到你的網(wǎng)站的。 3. 短網(wǎng)址：使用短網(wǎng)址可以追蹤從社交媒體渠道進入你的網(wǎng)站的訪客。通過使用不同的短網(wǎng)址，你可以知道來自哪個社交媒體平臺的訪客最多。 4. Referrer信息：當訪客從另一個網(wǎng)站鏈接進入你的網(wǎng)站時，瀏覽器會發(fā)送一個referrer信息到你的網(wǎng)站服務器。通過分析referrer信息，你可以知道訪客是從哪個網(wǎng)站鏈接進入你的網(wǎng)站的。 5. 埋點：將追蹤代碼嵌入到你的營銷活動中，例如電子郵件、社交媒體廣告和在線廣告中，以追蹤訪客從哪個來源訪問你的網(wǎng)站。總之，追蹤訪客初始來源需要使用多種方法，以獲得最準確的數(shù)據(jù)。通過分析這些數(shù)據(jù)，你可以了解哪些渠道可以為你的網(wǎng)站帶來最多的流量和轉化。

Public @ 2023-04-11 12:50:44

百度搜索引擎工作原理-2-抓取建庫

Spider抓取系統(tǒng)的基本框架互聯(lián)網(wǎng)信息爆發(fā)式增長，如何有效的獲取并利用這些信息是搜索引擎工作中的首要環(huán)節(jié)。數(shù)據(jù)抓取系統(tǒng)作為整個搜索系統(tǒng)中的上游，主要負責互聯(lián)網(wǎng)信息的搜集、保存、更新環(huán)節(jié)，它像蜘蛛一樣在網(wǎng)絡間爬來爬去，因此通常會被叫做“spider”。例如我們常用的幾家通用搜索引擎蜘蛛被稱為：Baiduspdier、Googlebot、Sogou Web Spider等。Spider抓取系統(tǒng)是搜索

Public @ 2022-09-10 16:21:47

搜索引擎工作的基礎流程與原理

感謝Mr.Zhao的投稿：搜索引擎最重要的是什么?有人會說是查詢結果的準確性，有人會說是查詢結果的豐富性，但其實這些都不是搜索引擎最最致命的地方。對于搜索引擎來說，最最致命的是查詢時間。試想一下，如果你在百度界面上查詢一個關鍵詞，結果需要5分鐘才能將你的查詢結果反饋給你，那結果必然是你很快的舍棄掉百度。搜索引擎為了滿足對速度苛刻的要求(現(xiàn)在商業(yè)的搜索引擎的查詢時間單位都是微秒數(shù)量級的)，所以采用緩

Public @ 2018-10-26 16:22:22

搜索引擎網(wǎng)頁去重算法分析

相關統(tǒng)計數(shù)據(jù)表明：互聯(lián)網(wǎng)上近似重復的網(wǎng)頁的數(shù)量占網(wǎng)頁總數(shù)量的比例高達29%，完全相同的網(wǎng)頁大約占網(wǎng)頁總數(shù)量的22%.研究表明，在一個大型的信息采集系統(tǒng)中，30%的網(wǎng)頁是和另外70%的網(wǎng)頁完全重復或近似重復的。即：互聯(lián)網(wǎng)的網(wǎng)頁中相當高的比例的網(wǎng)頁內(nèi)容是近似相同或完全相同的!搜索爬蟲抓取會產(chǎn)生網(wǎng)頁重復的類型：1.多個URL地址指向同一網(wǎng)頁以及鏡像站點如：www.sina.com 和www.sina.c

Public @ 2020-07-15 16:21:55

搜索引擎中各關鍵功能模塊功能簡介

（1）爬蟲：從互聯(lián)網(wǎng)爬取原始網(wǎng)頁數(shù)據(jù)，存儲于文檔知識庫服務器。（2）文檔知識庫服務器：存儲原始網(wǎng)頁數(shù)據(jù)，通常是分布式Key-Value數(shù)據(jù)庫，能根據(jù)URL/UID快速獲取網(wǎng)頁內(nèi)容。（3）索引：讀取原始網(wǎng)頁數(shù)據(jù)，解析網(wǎng)頁，抽取有效字段，生成索引數(shù)據(jù)。索引數(shù)據(jù)的生成方式通常是增量的，分塊/分片的，并會進行索引合并、優(yōu)化和刪除。生成的索引數(shù)據(jù)通常包括：字典數(shù)據(jù)、倒排表、正排表、文檔屬性等。生成的索引存儲

Public @ 2017-08-24 16:22:25

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[ DB ] CONNECT:[ UseTime:0.021941s ] mysql:dbname=briline.net;host=106.14.77.182;port=3306;charset=utf8
[ SQL ] SHOW COLUMNS FROM `ob_article` [ RunTime:0.015757s ]
[ SQL ] SELECT * FROM `ob_article` WHERE `id` = 7083 LIMIT 1 [ RunTime:0.014947s ]
[ 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:0.014980s ]
[ 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:0.015396s ]
[ 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:0.015824s ]
[ 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` = 7083 LIMIT 1 [ RunTime:0.014751s ]
[ 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=7083 [ RunTime:0.016094s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海搜索引擎工作原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.021928s ]
[ 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', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `cate` = '威海搜索引擎工作原理' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.045798s ]
[ 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` = '威海搜索引擎工作原理' AND `status` <> -1 LIMIT 1 [ RunTime:0.021895s ]
[ 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', ) ]
[ SQL ] SELECT * FROM `ob_article` WHERE `category_id` = 12 AND `tags` = '威海搜索引擎工作原理' AND `status` <> -1 ORDER BY rand() LIMIT 0,2 [ RunTime:0.032360s ]
[ 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', ) ]

0.428534s