简单的介绍。NET的应用,希望对你有帮助，希望大家多

一个不错的JSP电子商务代码-a good e-commerce JSP code

后台目录:admin 管理员用户名和密码:admin 1.设置您的站点属性 名称和网址：网站名称和网站地址 网站关键字：可以根据您站点的特点来填写，有利于百度各大搜索引擎搜索，让他/她更快的找到你 介绍和版权：站点介绍和版权信息 2.设置您的资料 您可以自由设定您的资料和交友意向,上传您的个人靓照。 3.查看想跟你交往的朋友 查看看见他/她的照片相关个人资料和联系方式。 -Back Catalog: admin administrator user name and password: admin1. Set up your site name and URL attributes: name and web site address website keyword: based on the characteristics of your site to fill out, in favor of Baidu search the major search engines, so that he/her to find you faster and copyright: site 2 briefed and copyright information. Set up your data you are free to set up your information and intent friends, upload your personal Match Friends. 3. Show you want to contact friends view to see his/her personal information and photographs related to contact information.

ASP大文件上传加目录直读 -ASP file upload big plus directory Direct Reading

可拓策略系统,基于构件化的可拓策略生成系统，房地产营销策略系统-Extension strategy systems, component-based extension strategy of the generation system, the real estate marketing system

用于PHP的分页功能，其中含有一个数据库的类！-Paging for PHP functions, which contains a database of categories!

HTML最全的教程，HTML,DHTML,CSS JS全都在此-HTML most of the tutorials, HTML, DHTML, CSS JS are all in this

街边幸福娱乐联盟整站-street entertainment happiness entire Union Station

ASP.NET 中的源码.读您的文件包然后写出其具体功能(至少要20个字)。尽量不要让站长把时间-ASP.NET in the source. Reading your package and then write their specific functions (at least 20 words). As far as possible not to let the station time

一个校园webgis的源代码，包含说明，论文。-A campus WebGIS source code, including that thesis.

:简要介绍了电子商务推荐系统的概念、作用及组成构件,给出了推荐技术分类标准,系统综述了协同 过滤推荐、基于内容推荐、基于人口统计信息推荐、基于效用推荐、基于知识推荐和基于规则推荐等6 种主要的推 荐技术。-: Briefly introduce the concept of e-commerce recommendation system, the role and composition of components, given the recommended technical classification standards, the system recommended by an overview of collaborative filtering, content-based recommendation, based on demographic information recommendation, based on the effectiveness of the recommendation of the knowledge-based recommendation and 6 kinds of rule-based recommendation technology major recommendation.