关键词: 微博系统, 朋友推荐, 地理位置, 地理近邻

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.

Key words: micro-blogging systems, friend recommendation, location, geographical neighbor