Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Users of a digital book library system typically interact with the system to search for books by querying on the metadata describing the books or to search for information in the p...
This paper studies and evaluates disambiguation strategies for the translation of tense between German and English, using a bilingual corpus of appointment scheduling dialogues. I...
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...