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» Factored Planning: How, When, and When Not
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SIGIR
2005
ACM
15 years 5 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
AAAI
2004
15 years 1 months ago
A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support s...
Tokuro Matsuo, Takayuki Ito, Toramatsu Shintani
CIDM
2007
IEEE
15 years 6 months ago
Reactive Query Policies: A Formalism for Planning with Volatile External Information
— To generate plans for collecting data for data mining, an important problem is information volatility during planning: the information needed by the planning system may change ...
Tsz-Chiu Au, Dana S. Nau
117
Voted
AIPS
2006
15 years 1 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
CHI
2010
ACM
15 years 6 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan