OVERVIEW
TFIDC.NET TRAFFIC
Date Range
Date Range
Date Range
TFIDC.NET HISTORY
COMPANY MATURITY
LINKS TO TFIDC.NET
WHAT DOES TFIDC.NET LOOK LIKE?
CONTACTS
Cdbaidu Inc
Cdbaidu Inc
cheng du pepole south road
chengdu, Sichuan, 610000
China
Cdbaidu Inc
xianrong wang
cheng du pepole south road
Cheng Du, Sichuan, 610041
China
TFIDC.NET SERVER
NAME SERVERS
FAVICON
SERVER SOFTWARE
We identified that tfidc.net is weilding the Microsoft-IIS/7.5 operating system.SITE TITLE
天府数据港-提供虚拟主机域名注册VPS主机服务器租用百度竞价VPS云主机DESCRIPTION
天府数据成都百都科技有限公司数万客户共同认证高速稳定虚拟主机行业百强提供双线主机电信主机香港主机美国主机免备案主机虚拟主机网站空间Cms整站程序主机域名注册服务器合租主机合租合租主机VPS云主机服务器租用等空间免费试用超值性价比低投入高回报天府数据港您的放心之选PARSED CONTENT
The website had the following on the site, "Xeon E5-2620 2 单核心." I analyzed that the web page said " Xeon E5-2620 2 双核心." They also stated " Xeon E5-2620 2 双核心. Xeon E5-2620 2 四核心. Xeon 5606 2 双核心. Xeon 5606 2 双核心. Xeon 5606 2 四核心. Xeon 5606 2 四核心. Xeon 5606 2 双核心. Xeon 5606 2 四核心. Xeon 5606 2 四核心. Xeon 5606 2 八核心. Intel Xeon L5520 2 八核心." The meta header had 虚拟主机 as the first search term. This keyword was followed by 网站空间, 天府数据, and vps主机 which isn't as important as 虚拟主机. The other words they uses is 云主机. 域名注册 is also included and could not be seen by web engines.SEE OTHER WEB PAGES
Monday, September 1, 2014. Sunday, June 8, 2014. From the Official Rackspace Blog- A Sad Day For Patent Reform. A Bad Day For Innovation. Tuesday, April 15, 2014.
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En este blog trataremos temas de Recuperacion de Informacion tanto desde el punto de vista academico como en relacion con el marketing en internet. Viernes, 3 de diciembre de 2010. Neutralizing DNS attack on Wikileaks. Miércoles, 4 de agosto de 2010. Apache Lucene is a high-performance and full-featured text search engine library written entirely in Java.
What does tf-idf mean? Term frequency-inverse document frequency. One of the simplest ranking functions is computed by summing the tf-idf for each query term; many more sophisticated ranking functions are variants of this simple model. Tf-idf can be successfully used for stop-words filtering in various subject fields including text summarization and classification. And the classic Introduction to Information Retrieval. Which measures how frequently a term occurs in a document.