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 …

Recommender systems are a key technology for many applications, such as e-commerce,
streaming media, and social media. Traditional recommender systems rely on collaborative …

With the popularization of Internet of Things (IOT) technology, a large number of multi-source
heterogeneous data are constantly generated and collected by cloud platforms, which …

The science of networks has made drastic changes in the modeling of complex real-world
systems. Community detection is one of the most important complex network concepts to …

Today, global information societies are increasingly producing a mass of information, which
makes it difficult to access relevant and useful information at the moment. In the meantime …

Social networking platforms like, Twitter, Face book etc., have now emerged as a major
forum for the application of Recommended Systems (RSs). Of course these famous sites are …

As a major research interest, the Recommender Systems (RS) has evolved to help
consumers locate products online by offering recommendations that closely fit their interests …

With the development of new media, the traditional broadcast television has encountered a
tremendous impact. So, the broadcast television industry is actively seeking innovation to …