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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
POPL
2008
ACM
16 years 6 months ago
Cryptographically sound implementations for typed information-flow security
In language-based security, confidentiality and integrity policies conveniently specify the permitted flows of information between different parts of a program with diverse levels...
Cédric Fournet, Tamara Rezk
CIKM
2009
Springer
16 years 21 days ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
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SIGIR
2010
ACM
15 years 10 months ago
The good, the bad, and the random: an eye-tracking study of ad quality in web search
We investigate how people interact with Web search engine result pages using eye-tracking. While previous research has focused on the visual attention devoted to the 10 organic se...
Georg Buscher, Susan T. Dumais, Edward Cutrell
AAAI
2008
15 years 8 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang