Recommender systems play an important role in helping online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …

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 …

The growth of social media over the last decade has revolutionized the way individuals
interact and industries conduct business. Individuals produce data at an unprecedented rate …

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

More often than not, people are active in more than one social network. Identifying users
from multiple heterogeneous social networks and integrating the different networks is a …

People use various social media for different purposes. The information on an individual site
is often incomplete. When sources of complementary information are integrated, a better …

Abstract Web Data Extraction is an important problem that has been studied by means of
different scientific tools and in a broad range of applications. Many approaches to extracting …

In recent years, the boundaries between e-commerce and social networking have become
increasingly blurred. Many e-commerce Web sites support the mechanism of social login …

We study the problem of large-scale social identity linkage across different social media
platforms, which is of critical importance to business intelligence by gaining from social data …

People today typically use multiple online social networks (Facebook, Twitter, Google+,
LinkedIn, etc.). Each online network represents a subset of their" real" ego-networks. An …