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» User strategies for handling information tasks in webcasts
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AOIS
2004
14 years 11 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
IDEAL
2004
Springer
15 years 3 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
SAC
2005
ACM
15 years 3 months ago
Effort and accuracy analysis of choice strategies for electronic product catalogs
One crucial task for e-commerce systems is to help buyers find products that not only satisfy their preferences but also reduce their search effort. Usually the amount of availa...
Jiyong Zhang, Pearl Pu
SIGIR
2006
ACM
15 years 3 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
AVI
2006
14 years 11 months ago
Navigation in degree of interest trees
We present an experiment that compares how people perform search tasks in a degree-of-interest browser and in a Windows-Explorer-like browser. Our results show that, whereas users...
Raluca Budiu, Peter Pirolli, Michael Fleetwood