计算机工程与应用2017，Vol.53Issue(13)：72-77,6.DOI:10.3778/j.issn.1002-8331.1606-0129
基于地理近邻关系的微博系统朋友推荐
Geographical neighbor based friend recommendation in micro- blogging systems
摘要
Abstract
Micro-blogging systems are developing tremendously and attracting a large amount of users in recent years. The tweets micro-blogging users posted provide an effective way of understanding users'interests. Many previous researches are proposed to mine users'interest from their posted tweets for on online friend recommendation. However, to find the information that the user really interested in is still very challenging. Furthermore, these previous works ignore the potential strong relationship between the interests and locations of users. In fact, what a user really interested in is people surrounding him in most cases. Thus, this paper proposes a geographical neighbor based friend recommendation approach, in which surrounding users who have similar interests can be detected and interact with one another in the same physical domain. By geographical neighbor based recommending, it provides users an effective way of contacting with people around them and who they may be interested in. Simulation results demonstrate the advantage of the approach compared with the traditional recommendation methods.关键词
微博系统/朋友推荐/地理位置/地理近邻Key words
micro-blogging systems/friend recommendation/location/geographical neighbor分类
信息技术与安全科学引用本文复制引用
朱金奇,张兆年,马春梅,刘念伯,鲁力..基于地理近邻关系的微博系统朋友推荐[J].计算机工程与应用,2017,53(13):72-77,6.基金项目
国家自然科学基金(No.61103227,No.61272526,No.61472068,No.61572113) （No.61103227,No.61272526,No.61472068,No.61572113）
中国博士后基金(No.2014M550466, No.2014M562308,No.2014M562310). （No.2014M550466, No.2014M562308,No.2014M562310）
