摘要
目前,威客网站普遍存在威客难以找到适合的任务和雇主难以找出符合要求的作品的问题。很多人在威客网站也花费了大量的时间和精力,却始终没有得到回报,造成人力资源浪费。同时,对威客的自信心是个很大的打击,这些问题已经逐渐开始制约威客网站的发展。作者结合Web页面数据挖掘技术对这一问题做了深入全面的分析,对于威客网站个性化服务难以发现的用户需求特征问题,给出了Web页面关联算法。利用数据挖掘技术可有效挖掘用户需求特征,从而指导威客网站资源的有效组织和合理分配,为威客型网站的投资者和运营者提供正确的解决方案和盈利导向。
At present,Witkey are difficult to find common tasks and the employer is difficult to find appropriate for the work of the prob- lem in witkey websites.Many people on witkey websites have spent a lot of time and effort, but never got in return and this will cause a lot of wastes of human resource.At the same time,it is a great blow for the witkey's confidence, these problems have gradually began to con- strain the development of witkey websites.Of my web pages with data mining techniques to this issue made into a full analysis of the site and gives the Web page associated algorithms for personalized service Witkey difficult to find features customers demand. Using data mining technology can effectively tap the demand characteristics of the user to guide site resources Witkey effective organization and rational allo- cation of sites for the type Witkey investors and operators to provide the right solutions and profit-oriented.
作者
郭东升
武彤
GUO Dong-sheng,WU Tong (School of Computer Science and Information, Guizhou University, Guiyang 550025, China)
出处
《电脑知识与技术》
2011年第1期7-8,19,共3页
Computer Knowledge and Technology
基金
贵州大学研究生教育创新基金(校研理工2009025)
贵州大学研究生教育创新基金(校研理工2010030)
关键词
威客网站
数据挖掘
需求特征
关联算法
the website of witkey
data mining
demand characteristics
correlation algorithm