Advances in Visualization Recommender Systems

Special Issue on Advances in Recommender Systems

Recent advances in electronic media and computer networks have allowed the creation of large and distributed repositories of information. However, the immediate availability of extensive resources for use by broad classes of computer users gives rise to new challenges in everyday life. These challenges arise from the fact that users cannot exploit available resources effectively when the amount...

Recent Advances in Personal Recommender Systems

In the past years we have witnessed an explosive growth of the data and information on the World Wide Web, which makes it difficult for normal users to find the information that they are interested in. On the other hand, the majority of the data and resources are very unpopular, which can be considered as “hidden information”, and are very difficult to find. By building a bridge between the use...

Recent Advances in Recommender Systems: Matrices, Bandits, and Blenders

Recent years have witnessed an explosion in methods applied to solve the recommendation problem. Modern recommender systems have become increasingly more complex compared to their early content-based and collaborative filtering versions. In this tutorial, we will cover recent advances in recommendation methods, focusing on matrix factorization, multi-armed bandits, and methods for blending reco...

Hierarchical graph maps for visualization of collaborative recommender systems

Advances in Scientific Visualization

This paper discusses scientific visualization of scalar and vector fields, particularly relating to clouds and climate modeling. One cloud rendering method applies a 3-D texture to cloudiness contour surfaces, to simulate a view from outer space. The texture is advected by the wind flow, so that it follows the cloud motion. Another technique simulates multiple scattering of incident light from ...