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...
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...
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...
: 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...
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...