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» Evaluating the Usability of Adaptive Recommendations
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ICALT
2007
IEEE
13 years 10 months ago
Evaluating the automatic and manual creation process of adaptive lessons
Using adaptive, personalized courses is rewarding, as it can create a better learning experience, tailored for a specific learner’s needs. The process of creating these courses,...
Maurice Hendrix, Alexandra I. Cristea, Mike Joy
CHI
2011
ACM
13 years 12 days ago
When designing usability questionnaires, does it hurt to be positive?
When designing questionnaires there is a tradition of including items with both positive and negative wording to minimize acquiescence and extreme response biases. Two disadvantag...
Jeff Sauro, James R. Lewis
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 8 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
KI
2002
Springer
13 years 8 months ago
Advantages, Opportunities and Limits of Empirical Evaluations: Evaluating Adaptive Systems
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Stephan Weibelzahl, Gerhard Weber
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
14 years 2 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme