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» Methods for comparing rankings of search engine results
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 9 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
CORR
2011
Springer
201views Education» more  CORR 2011»
14 years 5 months ago
On the Weakenesses of Correlation
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised met...
Paolo D'Alberto, Ali Dasdan
ICA
2007
Springer
15 years 7 months ago
Comparative Speed Analysis of FastICA
FastICA is arguably one of the most widespread methods for independent component analysis. We focus on its deflation-based implementation, where the independent components are ext...
Vicente Zarzoso, Pierre Comon
CLEF
2006
Springer
15 years 5 months ago
A Penalisation-Based Ranking Approach for the Mixed Monolingual Task of WebCLEF 2006
This paper presents an approach of a cross-lingual information retrieval which uses a ranking method based on a penalisation version of the Jaccard formula. The obtained results a...
David Pinto, Paolo Rosso, Ernesto Jiménez
ICIP
2002
IEEE
16 years 3 months ago
New dictionary and fast atom searching method for matching pursuit representation of displaced frame difference
Matching Pursuit decomposes a signal into a linear expansion of functions selected from a redundant dictionary, isolating the signal structures that are coherent with respect to a...
Fulvio Moschetti, Lorenzo Granai, Pierre Vanderghe...