This paper presents MouseTrack as a web logging system that tracks mouse movements on websites. The system includes a visualization tool that displays the mouse cursor path follow...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
We present a tool for qualitative data discovery that aids researchers in analyzing synchronized log data with audio collected from multiple computers. The tool was originally dev...
William A. Hamilton, Zachary O. Toups, Andruid Ker...