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) …

Abstract In the “Internet+ Education” mode, a big data analysis of innovative talents
education model is conducted to improve the quantitative evaluation ability of innovative …

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 …

跨社交网络用户匹配技术可以融合多平台用户数据, 从而实现更多元的应用,
现有基于签到的社交网络用户匹配研究, 忽略了多源社交网络签到数据的失衡性 …

In order to improve the object-oriented nature of social network services and customize the
personalized social network service system, it needs to design a hybrid social network …

为识别出不同社交网络平台中属于同一自然人的账号, 提出了一种基于用户关系的跨社交网络
用户身份关联方法. 首先, 设计了基于网络表示学习的用户关系提取模块, 将大规模用户关系转换 …

为了提高跨社交网络局部时序链路预测的精度和平稳性, 提出了基于Hadoop
的跨社交网络局部时序链路预测算法. 该算法选取了6 种跨社交网络节点相似性指标 …

Aiming at the deficiencies of low accuracy and difficulty in obtaining data for existing cross
social network user identity matching algorithms, an algorithm of user identity matching …

In order to promote the healthy development of rural e-commerce in Heilongjiang Province,
on the basis of summarizing the domestic and international research results, and integrating …

Aiming to improve the intelligent recommendation ability of users in social networks, an
intelligent recommendation algorithm for social networks based on gradient particle swarm …