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» Online feature elicitation in interactive optimization
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ICML
2009
IEEE
12 years 19 days ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
RECSYS
2009
ACM
11 years 6 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predeļ¬ned set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
11 years 1 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
SIGMOD
2010
ACM
208views Database» more  SIGMOD 2010»
10 years 10 months ago
An automated, yet interactive and portable DB designer
Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it ...
Ioannis Alagiannis, Debabrata Dash, Karl Schnaitte...
SCALESPACE
2009
Springer
11 years 6 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
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