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» Interactive Search Refinement Techniques for HARD Tasks
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IVS
2007
100views more  IVS 2007»
13 years 8 months ago
NetLens: iterative exploration of content-actor network data
Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper n abstract Content-Actor ...
Hyunmo Kang, Catherine Plaisant, Bongshin Lee, Ben...
CGF
2010
155views more  CGF 2010»
13 years 8 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...
JAIR
2006
179views more  JAIR 2006»
13 years 8 months ago
The Fast Downward Planning System
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
Malte Helmert
CCS
2008
ACM
13 years 10 months 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 ...
KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 11 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han