作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (3): 61-63. doi: 10.3969/j.issn.1000-3428.2011.03.022

• 软件技术与数据库 • 上一篇    下一篇

SNS网站用户关系挖掘的设计与实现

陈清华1,李林锦2,翁正秋1   

  1. (1. 温州大学城市学院电子信息分院,浙江 温州 325000;2. 温州市第三人民医院,浙江 温州 325000)
  • 出版日期:2011-02-05 发布日期:2011-01-28
  • 作者简介:陈清华(1983-),女,讲师、硕士,主研方向:数据挖掘;李林锦,学士;翁正秋,讲师、硕士

Design and Implementation of User Relationship Mining in Social Networking Services Website

CHEN Qing-hua 1, LI Lin-jin 2, WENG Zheng-qiu 1   

  1. (1. School of Electroincs and Information Technology, City College, Wenzhou University, Wenzhou 325000, China; 2. Wenzhou Third People’s Hospital, Wenzhou 325000, China)
  • Online:2011-02-05 Published:2011-01-28

摘要: 针对目前网络社交网站存在的交友形式单薄、好友关系淡化、用户流失等问题,设计基于“寝室”组织形式的社交网站系统,嵌入用户挖掘模块,通过权值更新和潜在关系更新算法帮助用户寻找潜在好友,以达到拓展社交圈的目的。实验结果表明,该系统的好友推荐准确度较高。

关键词: 社交网络服务, 六度分隔, 小世界效应, 用户关系挖掘

Abstract: With the wide application of Internet and computer technology, online social networking service becomes one of the best means to keep contacts with old friends and to make new friends. However, there are still many shortages in Social Networking Services(SNS), such as user relationship deterioration and user loss. In order to solve these problems, this paper proposes a SNS website system based on “dormitory”. A module of user relationship mining is embedded to help users to get their potential friends in advance by weight and potential relationship updating. Experimental results show that this system achieves a good recommending accuracy.

Key words: Social Networking Services(SNS), six degrees of separation, small world phenomenon, user relationship mining

中图分类号: