期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2017
卷号：9
页码：241-248
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Although the popular social networks have enhanced the interaction amongst people registered on their respective sites, however, the existing interaction rules do not allow inter-site sharing of user profiles and their activities. In fact, a user creates public profile with the intention to share activities globally through social networks. Now, since the identity of a user registered on numerous social networking sites are not integrated globally, therefore the different profiles of the user himself usually remain in isolation. It is an obvious fact that a genuine user registers with his or her unique attributes to create an identity and shall be identifiable with at least some of the common attributes across all popular social networks. The current work finds motivation from the above requirements and thus uniquely contributes a profile integrator which is able to generate a single unique profile from multiple profiles (of a user) available across different social networks. The integrator outstandingly disambiguates user profiles existing across different social networks using public attributes with decision to map the profiles using change in location of the user. The proposed model will increase the discoverability of the user, deriving new communities and promotional activities among multiple domains.
