Web-based social networks have become popular as a medium for disseminating
information and connecting like-minded people. The public accessibility of such networks …

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

Social recommendation leverages social information to solve data sparsity and cold-start
problems in traditional collaborative filtering methods. However, most existing models …

As computer science and information technology are making broad and deep impacts on
our daily lives, more and more papers are being submitted to computer science journals and …

Recommender systems are used to accurately and actively provide users with potentially
interesting information or services. Collaborative filtering is a widely adopted approach to …

Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …

Since their introduction in the early 1990's, automated recommender systems have
revolutionized the marketing and delivery of commerce and content by providing …

Research on recommender systems typically focuses on the accuracy of prediction
algorithms. Because accuracy only partially constitutes the user experience of a …

Information systems knowledge is essential for creating competitive firms, managing global
corporations, and providing useful products and services to customers. This book introduces …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …