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» Preference elicitation for interface optimization
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CHI
2006
ACM
14 years 8 months ago
groupTime: preference based group scheduling
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
Mike Brzozowski, Kendra Carattini, Scott R. Klemme...
AH
2008
Springer
14 years 1 months ago
VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems
Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user fro...
Melanie B. Späth, Owen Conlan
SIGECOM
2005
ACM
90views ECommerce» more  SIGECOM 2005»
14 years 1 months ago
ICE: an iterative combinatorial exchange
We present the first design for a fully expressive iterative combinatorial exchange (ICE). The exchange incorporates a tree-based bidding language that is concise and expressive ...
David C. Parkes, Ruggiero Cavallo, Nick Elprin, Ad...
JAIR
2008
103views more  JAIR 2008»
13 years 7 months ago
ICE: An Expressive Iterative Combinatorial Exchange
We present the design and analysis of the first fully expressive, iterative combinatorial exchange (ICE). The exchange incorporates a tree-based bidding language (TBBL) that is co...
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, S&...

Publication
240views
12 years 6 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf