[1]陈冈,朱茜. Web网络用户兴趣关联系统的设计[J].计算机技术与发展,2014,24(11):199-202.
　CHEN Gang,ZHU Qian. Design of Web User Interest Association System[J].,2014,24(11):199-202.
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 Web网络用户兴趣关联系统的设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年11期
页码:
199-202
栏目:
应用开发研究
出版日期:
2014-11-10

文章信息/Info

Title:
 Design of Web User Interest Association System
文章编号:
1673-629X（2014）11-0199-04
作者:
 陈冈; 朱茜
 武汉纺织大学 管理学院
Author(s):
 CHEN Gang; ZHU Qian
关键词:
 ; 兴趣关联; 用户概貌; Web; 相似性算法; 切面; 侧面
Keywords:
 ; interest association; user profile; Web; similarity algorithm; aspect; section
分类号:
TP311
文献标志码:
A
摘要:
 在信息过载的环境下,Web用户要想获取感兴趣的信息,往往比较困难。协同过滤推荐的核心点在于基于相似性算法为同类兴趣的用户推送相似资源。文中设计了一种基于协同过滤推荐原理的用户兴趣关联系统,为Web用户主动推荐兴趣信息,这有利于解决电子商务环境中的信息过载问题。该系统基于Java MVC和Flex结合的总体架构,设计了兴趣关联处理流程和业务处理流程,研究了一种能够将业务逻辑自动装配的核心架构,提出了兴趣数据的切面和侧面关系数据库表示模型。最后简要介绍了实现技术。
Abstract:
 In the information overload environment,it is more difficult for Web users to obtain the interest information. The core of collab-orative filtering recommendation is to push similar resources for similar interested users based on similarity algorithm. In this paper,pres-ent a user interest correlation system based on collaborative filtering recommendation principle to advice interest information for Web us-ers,which helps to solve information overload problems in the electronic commerce environment. The system,based on Java MVC and Flex,designs the interest association processing flowing and business processing flowing,researches an automatic assembly core which builds business logics,and proposes a relationship database representation model based on aspects and sections. Finally briefly introduce some implementation technologies.

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更新日期/Last Update: 2015-04-14