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» Learning and adaptivity in interactive recommender systems
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UM
2005
Springer
14 years 1 months ago
User Control over User Adaptation: A Case Study
The A theory of user expectation of system interaction is introduced in the context of User Adapted Interfaces. The usability of an intelligent email client that learns to filter s...
Xiaoyan Peng, Daniel L. Silver
ICML
2010
IEEE
13 years 8 months ago
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
Bin Cao, Nathan Nan Liu, Qiang Yang
TSMC
2010
13 years 2 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier
AAMAS
2010
Springer
13 years 7 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
JCP
2007
159views more  JCP 2007»
13 years 7 months ago
Authoring of Units of Learning via Dialogue Systems
— Detailed and expressive e-learning specifications like IMS LD [1] are necessary to create efficient e-learning applications. E-learning specifications that meet these demand...
Dietmar Janetzko