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» Learning and adaptivity in interactive recommender systems
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CATA
2006
13 years 9 months ago
Shoechicken: An Intelligent System for Recommending RSS/Atom Content
We present Shoechicken, an intelligent agentbased system for rating RSS and Atom news content based on user preferences. The system builds a user profile implicitly by observing a...
James Horsley, Michael Wooten, Eman El-Sheikh
APIN
1998
107views more  APIN 1998»
13 years 7 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock
IAT
2010
IEEE
13 years 5 months ago
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds
Abstract--There has been growing interest in creating intelligent agents in virtual worlds that do not follow fixed scripts predefined by the developers, but react accordingly base...
Yilin Kang, Ah-Hwee Tan
CORR
2011
Springer
166views Education» more  CORR 2011»
12 years 11 months ago
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Mehmet H. Göker, Pat Langley, Cynthia A. Thom...
IROS
2006
IEEE
193views Robotics» more  IROS 2006»
14 years 1 months ago
Adaptive Human-Robot Interaction System using Interactive EC
— We created a human-robot communication system that can adapt to user preferences that can easily change through communication. Even if any learning algorithms are used, evaluat...
Yuki Suga, Chihiro Endo, Daizo Kobayashi, T. Matsu...