大数据 (Sep 2016)
Cross-OSN user modeling in big data
Abstract
Social media variety mainly concerns with the contents created and consumed in different online social network (OSN).Analyzing cross-OSN from the perspective of “variety” is beneficial to exerting the potential of big data,by integrally analyzing and exploiting the multi-sourced and multi-modal data.The problem of exploiting the cross-OSN data for comprehensive user modeling,which is fundamental in the context of multi-sourced social media big data was addressed.Inspired by the fact that the cross-OSN data shares unique user space,take the users as a bridge for associations mining between OSN was proposed.The discovered association patterns were then utilized in cross-OSN user demographic attribute inference and interest modeling in cross-OSN respectively,which can be further applied to personalized social media services.
