基于时空数据分类的用户社交联系学习

Social ties learning among users using spatio-temporal data classification

按照时空数据模型对时间和空间的表达方式,将时空数据模型分为基于时间的时空数据模型和基于空间的时空数据模型。提出了一种新的基于时空数据预测用户社交联系的模型,该模型将基于时间的时空数据集的特征和基于空间的时空数据集的特征进行融合来预测用户社交联系。实验结果表明基于时间与空间特征融合的时空数据模型能更好地预测用户的社交联系。

According to spatio-temporal data model for expression of time and space,the spatiovided into spatio-temporal data model based on space and spatio-temporal data model based on mong users more precisely, this paper proposed a novel model that merges the features of spatio-temporal data space with the features of spatio-temporal data model based on time. The experimental resultmulti-features fusion in time and space predicts the social ties of users than the spatio-temporal data model based on space oron time more accurately.