Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
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...
Organizations are increasingly using cross-functional project teams to increase flexibility. The belief is that individuals will be able to share and combine their different knowl...
Sue Newell, Susan Adams, Marcy Crary, Priscilla Gl...
The impact of affect on learning has been the subject of increasing attention. Because of the differential effects of students’ affective states on learning outcomes, there is a ...
Jennifer L. Robison, Scott W. McQuiggan, James C. ...
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, ...