Cyber attacks have become increasingly complicated, persistent, organized, and
weaponized. Faces with this situation, drives a rising number of organizations across the …

Technology opportunity analysis (TOA) has been the subject of many prior studies, most of
which have focused on deconstructing and restructuring the original knowledge structure in …

In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

Nowadays, the psychological techniques used to harass, intimidate, threaten, steal
information are more common due to free access to technological resources and the …

Topic modeling is a commonly used text analysis tool for discovering latent topics in a text
corpus. However, while topics in a text corpus often exhibit a hierarchical structure (eg …

摘要主题模型是当下文本挖掘中最主要的技术之一, 广泛应用于数据挖掘,
文本分类以及社区发现等. 由于其出色的降维能力和灵活的易扩展性, 成为自然语言处理领域的 …

Factorization Machines (FMs) are effective in incorporating side information to overcome the
cold-start and data sparsity problems in recommender systems. Traditional FMs adopt the …

Customers in the online purchase context always bear the burden of enormous reviews. In
this study, we endeavor to effectively identify and select a helpful review subset from original …

Topic modeling is a crucial unsupervised machine learning technique for identifying themes
within unstructured text. This study compares traditional topic modeling methods, like Latent …

In the context of cybersecurity, social engineering describes a type of attack in which the
attacker exploit human vulnerabilities to breach the security goals of cyberspace elements …