[PDF][PDF] 一种基于用户轨迹的跨社交网络用户身份识别算法
陈鸿昶， 徐乾， 黄瑞阳， 程晓涛， 吴铮 - 电子与信息学报, 2018 - jeit.ac.cn
针对现有的基于用户轨迹的跨社交网络用户身份识别算法未考虑用户轨迹中的位置访问顺序
特征的缺点, 该文提出一种基于Paragraph2vec 的跨社交网络用户轨迹匹配算法(CDTraj2vec) …
特征的缺点, 该文提出一种基于Paragraph2vec 的跨社交网络用户轨迹匹配算法(CDTraj2vec) …
User identification across social networks based on user trajectory
H CHEN, Q XU, R HUANG, X CHENG, Z WU - 电子与信息学报, 2018 - jeit.ac.cn
The performance of trajectory based user identification is poor since the existing methods
ignore the order feature of location sequence. To solve this problem, a Cross Domain …
ignore the order feature of location sequence. To solve this problem, a Cross Domain …
[HTML][HTML] 基于时空周期模式挖掘的活动语义识别方法
郭茂祖， 邵首飞， 赵玲玲， 李阳 - 智能系统学报, 2021 - html.rhhz.net
传统的活动语义识别研究侧重从时空轨迹的空间信息中提取人类的活动语义,
对时空轨迹数据的时间特性挖掘不足. 本文兼顾时间和空间特征, 提出了一种基于周期模式挖掘 …
对时空轨迹数据的时间特性挖掘不足. 本文兼顾时间和空间特征, 提出了一种基于周期模式挖掘 …
Algorithm research for user trajectory matching across social media networks based on paragraph2vec
Q Xu, H Chen, H Zhi, Y Wang - AIP Conference Proceedings, 2018 - pubs.aip.org
Identifying users across different social media networ% s (SMN) is to lin% accounts of the
same user that belong to the same individual across SMNs. The problem is fundamental and …
same user that belong to the same individual across SMNs. The problem is fundamental and …