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» A Knowledge Recommend System Based on User Model
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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 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
AH
2008
Springer
13 years 9 months ago
What Can I Watch on TV Tonight?
This paper presents the methods used in a TV Recommender System that helps users in the difficult task of finding an interesting TV program from among the hundreds of channels that...
David Bueno, Ricardo Conejo, David Martín, ...
KES
2010
Springer
13 years 5 months ago
Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning
Abstract. In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in...
Mihaela Cocea, Sergio Gutiérrez Santos, Geo...
FIRSTMONDAY
2007
84views more  FIRSTMONDAY 2007»
13 years 7 months ago
Understanding hypertext cognition: Developing mental models to aid users' comprehension
This paper uses literature on hypertext theory to evaluate our reading strategies in an online environment. Assessing the impact of digital technology on our educational environme...
Andy White
EDM
2010
117views Data Mining» more  EDM 2010»
13 years 9 months ago
Pundit: Intelligent Recommender of Courses
In this paper the authors describe Pundit, a course recommendation and search tool at Teachers College, Columbia University. The alpha prototype employs a novel combination of data...
Ankit Ranka, Faisal Anwar, Hui Soo Chae