Search Results

Learning-based Adaptive Bit Rate~(ABR) method, aiming to learn outstanding strategies without any presumptions, has become one of the research hotspots for adaptive streaming. However, it is still suffering from several issues, i.e., low sample ...

Streaming videos over cellular networks is highly challenging. Since cellular data is a relatively scarce resource, many video and network providers offer options for users to exercise control over the amount of data consumed by video streaming. Our ...

Complementary item recommendation finds products that go well with one another (e.g., a camera and a specific lens). While complementary items are ubiquitous, the dimensions by which items go together can vary by both product and category, making it ...

The movie recommendation is one of the most active application domain for recommendation systems (RS). However, with the rapid growth in the number of films, users have vastly different needs for the quality of the movie. In addition, facing big data, ...

Due to alarming increase in video traffic over wireless network, there is a dramatic need to optimally support real-time video applications in order to provide the quality-of-service (QoS) needed from different users and applications with different ...

With the explosive use of Information Technology (IT) in modern life, "green" or sustainable solutions capable of minimizing IT impact on the environment become very important. Research on green IT has already produced a variety of approaches aiming at ...