Matrix factorization is a successful technique for building collaborative filtering systems. While it works well on a large range of problems, it is also known for requiring signi...
Alexandros Karatzoglou, Alexander J. Smola, Markus...
An appreciation of the roles of genre and task is important in understanding how people browse the Web. Genre is characterized by content and form and is intimately linked to the ...
Carolyn R. Watters, Michael A. Shepherd, Forbes J....
Gabor filters have been applied successfully to the segmentation of textured images. Previous investigators have used banks of Gabor filters, where the filter parameters were pred...
Topic tracking and information filtering are models of interactive tasks, but their evaluations are generally done in a way that does not reflect likely usage. The models either f...
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...