Predicting the impact of academic papers can help scholars quickly identify the high-quality
papers in the field. How to develop efficient predictive model for evaluating potential papers …

Open-source software (OSS) licenses dictate the conditions, which should be followed to
reuse, distribute, and modify software. Apart from widely-used licenses such as the MIT …

It has become more challenging for the security analysts to identify cyber threat related
content on the Internet because of the vast amount of publicly available digital texts. In this …

Context The game industry is increasingly growing in recent years. Every day, millions of
people play video games, not only as a hobby, but also for professional competitions (eg, e …

Background: Mixed reality (MR) devices provide real-time environments for physical-digital
interactions across many domains. Owing to the unprecedented COVID-19 pandemic, MR …

Abstract Recently, Deep Neural Networks (DNNs) have proved their capability to model
nonlinear relationships between users and items in recommender systems. Therefore, many …

With the remarkable increase in the number of scientific entities such as publications,
researchers, and scientific topics, and the associated information overload in science …

Seiring dengan berkembangnya informasi yang ada di sekitar dengan pesat, maka jenis
informasi yang ada pun menjadi sangat bervariasi dan sangat banyak jumlahnya, dan akan …

A recommender system is a system that recommends products or services that best meet the
preferences of each customer using statistical or machine learning techniques …

Journal recommendation is a popular research topic in academic resource
recommendation. However, the reliability of the current model depends on rich features in …