The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

Predicting anchor links across social networks has important implications to an array of
applications, including cross-network information diffusion and cross-domain …

The aim of recommender systems is to automatically identify user preferences within
collected data, then use those preferences to make recommendations that help with …

Many recommenders aim to provide relevant recommendations to users by building
personal topic interest profiles and then using these profiles to find interesting contents for …

Graph alignment aims to identify node correspondence across multiple graphs, with
significant implications in various domains. As supervision information is often not available …

Data sparsity and data imbalance are practical and challenging issues in cross-domain
recommender systems (RSs). This paper addresses those problems by leveraging the …