Sciweavers

362 search results - page 35 / 73
» Learning preferences of new users in recommender systems: an...
Sort
View
IV
2010
IEEE
140views Visualization» more  IV 2010»
13 years 6 months ago
GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...
Luca Mazzola, Riccardo Mazza
WWW
2005
ACM
14 years 8 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
CIKM
2004
Springer
13 years 11 months ago
Taxonomy-driven computation of product recommendations
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Th...
INTERACT
2003
13 years 9 months ago
Does an Individual's Myers-Briggs Type Indicator Preference Influence Task-Oriented Technology Use?
: Technology innovators face the challenge of finding representative groups of users to participate in design activities. In some cases, software applications will target an audien...
Pamela J. Ludford, Loren G. Terveen
AAAI
2006
13 years 9 months ago
LOCATE Intelligent Systems Demonstration: Adapting Help to the Cognitive Styles of Users
LOCATE is workspace layout design software that also serves as a testbed for developing and refining principles of adaptive aiding. This demonstration illustrates LOCATE's ab...
Jack L. Edwards, Greg Scott