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CHI
2011
ACM
12 years 11 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
WIKIS
2006
ACM
14 years 1 months ago
Semantic Wikipedia
Wikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural...
Heiko Haller, Markus Krötzsch, Max Völke...
IUI
2005
ACM
14 years 1 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
HT
2003
ACM
14 years 1 months ago
User-controlled link adaptation
This paper introduces an adaptable hypermedia approach applied to adaptive link annotation techniques. This approach suggests that the combination of direct manipulation with auto...
Theophanis Tsandilas, Monica M. C. Schraefel
DEBS
2008
ACM
13 years 9 months ago
Distributed automatic service composition in large-scale systems
Automatic service composition is an active research area in the field of service computing. This paper presents a distributed approach to automatically discover a composition of s...
Songlin Hu, Vinod Muthusamy, Guoli Li, Hans-Arno J...