The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

Over the years we have seen recommender systems shifting focus from optimizing short-
term engagement toward improving long-term user experience on the platforms. While …

In e-learning recommender systems, interpersonal information between learners is very
scarce, which makes it difficult to apply collaborative filtering (CF) techniques to achieve …

Vehicular social networks (VSNs) have attracted the research community due to its diverse
applications ranging from safety to entertainment. Social vehicles standing for private cars …

Restaurant recommendation is one of the most interesting recommendation problems
because of its high practicality and rich context. Many works have been proposed to …

Link prediction is amongst the most crucial tasks in network science and graph data
analytics. Given the snapshot of a network at a particular instance of time, the study of link …

Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …

Social science concerns issues on individuals, relationships, and the whole society. The
complexity of research topics in social science makes it the amalgamation of multiple …

Friend recommendation system (FRS) is an essential part of any social network system. With
the popularity of social network sites, many FRSs have been proposed in the past few years …