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WWW
2005
ACM
16 years 17 days ago
Semantic similarity between search engine queries using temporal correlation
We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
Steve Chien, Nicole Immorlica
CHI
2009
ACM
16 years 14 days ago
Exploring awareness needs and information display preferences between coworkers
1 Technology makes it possible to share many different types of information with coworkers. We conducted a large-scale survey (N=549) to better understand current sharing among co...
A. J. Bernheim Brush, Brian Meyers, James Scott, G...
GECCO
2009
Springer
15 years 6 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 6 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
15 years 5 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...