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» Various aspects of user preference learning and recommender ...
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SIGIR
2008
ACM
13 years 10 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
CIKM
2004
Springer
14 years 2 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...
CCS
2008
ACM
14 years 12 days ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
CHI
2007
ACM
14 years 10 months ago
Tangible user interface for chemistry education: comparative evaluation and re-design
Augmented Chemistry (AC) is an application that utilizes a tangible user interface (TUI) for organic chemistry education. The empirical evaluation described in this paper compares...
Morten Fjeld, Jonas Fredriksson, Martin Ejdestig, ...
HICSS
2005
IEEE
159views Biometrics» more  HICSS 2005»
14 years 4 months ago
A Repeatable Collaboration Process for Usability Testing
Evaluating the usability of an application is a crucial activity in systems development projects. It is often done collaboratively, involving groups of current or future users, us...
Gert-Jan de Vreede, Ann L. Fruhling, Anita Chakrap...