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» Learning and adaptivity in interactive recommender systems
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AH
2006
Springer
13 years 11 months ago
A Model for Personalized Learning Through IDTV
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...
Marta Rey-López, Ana Fernández Vilas...
HIS
2008
13 years 9 months ago
MIRA: A Learning Multimodal Interactive Robot Agent
In this paper we present a robotic head MIRA (Multimodal Interactive Robot Agent) which has been developed for studying the learning of human robot interaction and improving our u...
John C. Murray, Stefan Wermter, Michael Knowles
FLAIRS
2000
13 years 9 months ago
A Multiagent Architecture to Support Distance Learning Personalization on the Web
This article presents the description of the objectives, the structure and the functionality of an interactive system intended to focus the teaching on the performanceof the stude...
Jesus Boticario, Elena Gaudioso
RECSYS
2009
ACM
14 years 2 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
AIEDU
2007
86views more  AIEDU 2007»
13 years 7 months ago
A Study of Feedback Strategies in Foreign Language Classrooms and Tutorials with Implications for Intelligent Computer-Assisted
This paper presents two new corpus-based studies of feedback in the domain of teaching Spanish as a foreign language, concentrating on the type and frequency of different feedback ...
Anita Ferreira, Johanna D. Moore, Chris Mellish