UM
2007
Springer
13 years 10 months ago
2007
Springer
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
UM
2007
Springer
13 years 10 months ago
2007
Springer
Using an eye-tracker, this paper investigates the information that learners visually attend to in their open learner model, and the degree to which this is related to the method of...
UM
2007
Springer
13 years 10 months ago
2007
Springer
Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader p...
UM
2007
Springer
13 years 10 months ago
2007
Springer
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
UM
2007
Springer
13 years 10 months ago
2007
Springer
A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and h...
UM
2007
Springer
13 years 10 months ago
2007
Springer
User’s privacy concerns represent one of the most serious obstacles to the wide adoption of mobile social software applications. In this paper, we introduce a conceptual model wh...
UM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
UM
2007
Springer
13 years 10 months ago
2007
Springer
Web personalization has demonstrated to be advantageous for both online customers and vendors. However, its benefits may be severely counteracted by privacy constraints. Personaliz...
UM
2007
Springer
13 years 10 months ago
2007
Springer
UM
2007
Springer
13 years 10 months ago
2007
Springer
Despite the growing popularity of user modeling servers, little attention has been paid to optimizing and evaluating the performance of these servers. We argue that implementation ...