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NIPS
2007
13 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
IADIS
2004
13 years 11 months ago
Products' review page projection using the number of evaluating expressions
Recently many people utilize products' review pages on the World Wide Web (WWW) that have useful and informative contents about specific products before purchasing some produ...
Tadahiko Murata, Nobuaki Kakito
AAAI
1997
13 years 11 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
ECSCW
1993
13 years 11 months ago
Design for Unanticipated Use..
: Support for work practice is better conceptualised as support for activity taking place in a multidimensional space than as prescription of temporal task sequences. The notion of...
Mike Robinson
ECAI
2010
Springer
13 years 11 months ago
Propagation of Opinions in Structural Graphs
Trust and reputation measures are crucial in distributed open systems where agents need to decide whom or what to choose. Existing work has mainly focused on the reputation of sing...
Nardine Osman, Carles Sierra, Jordi Sabater-Mir