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» Improving search engines using human computation games
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WWW
2011
ACM
13 years 3 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
KCAP
2005
ACM
14 years 2 months ago
Ontology ranking based on the analysis of concept structures
In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of...
Harith Alani, Christopher Brewster
WWW
2004
ACM
14 years 9 months ago
Computing personalized pageranks
A recently published approach to adaptive page rank, using the solution of quadratic optimization methods with a set of simple constraints [3], is modified to permit classificatio...
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchn...
UIST
2009
ACM
14 years 3 months ago
Sikuli: using GUI screenshots for search and automation
We present Sikuli, a visual approach to search and automation of graphical user interfaces using screenshots. Sikuli allows users to take a screenshot of a GUI element (such as a ...
Tom Yeh, Tsung-Hsiang Chang, Robert C. Miller
CHI
2009
ACM
14 years 9 months ago
Ephemeral adaptation: the use of gradual onset to improve menu selection performance
We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive ...
Leah Findlater, Karyn Moffatt, Joanna McGrenere, J...