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» Learning and adaptivity in interactive recommender systems
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ECTEL
2009
Springer
15 years 6 months ago
Getting to Know Your User - Unobtrusive User Model Maintenance within Work-Integrated Learning Environments
Work-integrated learning (WIL) poses unique challenges for user model design: on the one hand users’ knowledge levels need to be determined based on their work activities – tes...
Stefanie N. Lindstaedt, Günter Beham, Barbara...
107
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FLAIRS
2001
15 years 3 months ago
Learning and Predicting User Behavior for Particular Resource Use
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
Jung Jin Lee, Robert McCartney, Eugene Santos Jr.
WWW
2010
ACM
15 years 5 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
AGENTS
1999
Springer
15 years 6 months ago
A Personal News Agent That Talks, Learns and Explains
Most work on intelligent information agents has thus far focused on systems that are accessible through the World Wide Web. As demanding schedules prohibit people from continuous ...
Daniel Billsus, Michael J. Pazzani
ECTEL
2006
Springer
15 years 5 months ago
Getting to Know Your Student in Distance Learning Contexts
Abstract. Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Teachers know their students because they interact with them face-to...
Claus Zinn, Oliver Scheuer