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» Human dialogue modelling using machine learning
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IUI
2010
ACM
16 years 14 days ago
Automatically identifying targets users interact with during real world tasks
Information about the location and size of the targets that users interact with in real world settings can enable new innovations in human performance assessment and software usab...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
145
Voted
CIA
2007
Springer
15 years 11 months ago
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Avi Rosenfeld, Sarit Kraus, Charlie Ortiz
SIGIR
2004
ACM
15 years 11 months ago
Eye-tracking analysis of user behavior in WWW search
We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain into how users browse the presented abstracts and how they s...
Laura A. Granka, Thorsten Joachims, Geri Gay
163
Voted
ICSE
2010
IEEE-ACM
15 years 10 months ago
Summarizing software artifacts: a case study of bug reports
Many software artifacts are created, maintained and evolved as part of a software development project. As software developers work on a project, they interact with existing projec...
Sarah Rastkar, Gail C. Murphy, Gabriel Murray
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 10 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee