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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
15 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
169
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AIED
2009
Springer
16 years 1 months ago
MetaTutor: Analyzing Self-Regulated Learning in a Tutoring System for Biology
We report preliminary data of an initial laboratory study examining the effectiveness of self-regulated learning (SRL) training versus no training on learners’ ability to deploy ...
Roger Azevedo, Amy M. Witherspoon, Arthur C. Graes...
ECML
2003
Springer
16 years 2 days ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan
160
Voted
ECTEL
2008
Springer
15 years 8 months ago
Evaluation of Interoperability between MOT and Regular Learning Management Systems
Abstract. Adaptive Hypermedia content offers personalization; however, (re)using such material with regular Learning Management Systems (LMS) is not yet straightforward. Ideally, m...
Fawaz Ghali, Alexandra I. Cristea
155
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DSS
2007
120views more  DSS 2007»
15 years 6 months ago
Could the use of a knowledge-based system lead to implicit learning?
The primary objective of a knowledge-based system (KBS) is to use stored knowledge to provide support for decision-making activities. Empirical studies identify improvements in de...
Solomon R. Antony, Radhika Santhanam