Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions of relevant items to users. These systems have received increasing attention …

Nowadays, the increasing demand for group recommendations can be observed. In this
paper we address the problem of recommendation performance for groups of users (group …

The emergence of the online media sharing sites (eg Youtube, Youku, and Hulu) have
introduced new challenges in program recommendation in online networks. However, there …

The amount of scientific and technical information is growing exponentially. As a result, the
scientific community has been overwhelmed by the information published in number of new …

As the number of cable TV programs grows, it becomes more difficult for the viewers to find
the right one. This calls for specialized recommender systems, often in a form of electronic …

The rapid development and extensive use of recommender systems (RSs) have changed
the face of online service experience. The enormous data generated and the complexity …

Web surfing has become a popular activity for many consumers who not only make
purchases online, but also seek relevant information on products and services before they …

Recommender systems for online broadcasting become important as the number of
channels has been increasing. In online broadcasting, to provide accurate recommendation …