Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract t...
Term extraction relates to extracting the most characteristic or important terms (words or phrases) in a document. This information is commonly used for improving the accuracy of ...
In this paper, we present two novel texture-based techniques to visualize uncertainty in time-dependent 2D flow fields. Both methods use semi-Lagrangian texture advection to sho...
This paper presents the design, implementation, and evaluation of a footprintbased indoor location system on traditional Japanese GETA sandals. Our footprint location system can s...