Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

Recommender Systems are the set of tools and techniques to provide useful
recommendations and suggestions to the users to help them in the decision-making process …

Social events provide valuable insights into group social behaviors and public concerns and
therefore have many applications in fields such as product recommendation and crisis …

Events are happening in real world and real time, which can be planned and organized for
occasions, such as social gatherings, festival celebrations, influential meetings, or sports …

David Knoke and Song Yang′ s Social Network Analysis, Third Edition provides a concise
introduction to the concepts and tools of social network analysis. The authors convey key …

Modern recommender systems have evolved rapidly along with deep learning models that
are well-optimized for overall performance, especially those trained under Empirical Risk …

We propose a new model toward improving the quality of image recommendations in social
sharing communities like Pinterest, Flickr, and Instagram. Concretely, we propose Neural …

With the prevalent trend of combining online and offline interactions among users in event-
based social networks (EBSNs), event recommendation has become an essential means to …

Recommender system is an emerging field of research with the advent of World Wide Web
and E-commerce. Recently, an increasing usage of social networking websites plausibly …

Worker recruitment in mobile crowdsensing systems aims to recruit the most suitable users
to perform tasks with high quality and in real-time. Many worker recruitment or task matching …