There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

Along with the increasing requirements, the hashtag recommendation task for microblogs
has been receiving considerable attention in recent years. Various researchers have studied …

Worker selection is a key issue in mobile crowd sensing (MCS). While the previous worker
selection approaches mainly focus on selecting a proper subset of workers for a single MCS …

The data overload problem and the specific nature of the experts' knowledge can hinder
many users from finding experts with the expertise they required. There are several expert …

The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …

In microblogging services, users usually use hashtags to mark keywords or topics. Along
with the fast growing of social network, the task of automatically recommending hashtags …

The increasing use of enterprise social networks (ESN) generates vast amounts of data,
giving researchers and managerial decision makers unprecedented opportunities for …

A self-biased PLL uses a sampled feed-forward filter network and a multi-stage inverse-
linear programmable current mirror for constant loop dynamics that scale with reference …

In order to help scholars understand and follow a research topic, significant research has
been devoted to creating systems that help scholars discover relevant papers and authors …

With the proliferation of social network services, more and more social users, such as
individuals and organizations, are simultaneously involved in multiple social networks for …