With the rapid evolution of scientific research, there are a huge volume of papers published
every year and the number of scholars is also growing fast. How to effectively predict the …

User-Review Social Networks (URSNs) now become the targets of Sybil attacks, where fake
reviews are posted by attackers to raise the reputation of listed services or products. Unlike …

The quality of the scientific publication plays an important role in generating a large number
of citations and raising the work's visibility. According to several studies, the number of …

Sequential recommendation aims to predict the next interaction by mining users' evolving
interest from their historical behaviors. Through comprehensive study, we argue that the …

As the volume of scientific literature expands rapidly, accurately gauging and predicting the
citation impact of academic papers has become increasingly imperative. Citation counts …

摘要预测科研热点可以有效地开展科学研究和更好地分配科学资源. 数据挖掘和机器学习算法
已经被广泛应用到科研热点预测中, 比如基于论文文本内容的主题模型建模和挖掘论文被引频次 …

Introduction Recognizing and evaluating studies in the field of health system management
can be a solution to achieve better and more people in need of well-being and health. This …

针对论文引用预测方法在特征稀疏时性能下降的问题, 提出了基于异构特征融合的方法,
可同时利用定长特征, 引文网络特征和引文时序特征, 有效提升了引用预测方法的精度 …

Traditional price movement is modeled by the machine learning methods and neural
network methods. However, the prediction is often concerned with the correlations rather …

Estimating the expected impact of an article is valuable for various applications (eg,
article/cooperator recommendation). Most existing approaches attempt to predict the exact …