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» Relevance Ranking Using Kernels
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117
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WEBDB
2004
Springer
170views Database» more  WEBDB 2004»
15 years 8 months ago
Content and Structure in Indexing and Ranking XML
Rooted in electronic publishing, XML is now widely used for modelling and storing structured text documents. Especially in the WWW, retrieval of XML documents is most useful in co...
Felix Weigel, Holger Meuss, Klaus U. Schulz, Fran&...
117
Voted
WAIM
2009
Springer
15 years 7 months ago
IRank: A Term-Based Innovation Ranking System for Conferences and Scholars
Since the proposition of Journal Impact Factor [1] in 1963, the classical citation-based ranking scheme has been a standard criterion to rank journals and conferences. However, the...
Zhixu Li, Xiaoyong Du, Hongyan Liu, Jun He, Xiaofa...
142
Voted
CORR
2006
Springer
118views Education» more  CORR 2006»
15 years 2 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
107
Voted
ECIR
2007
Springer
15 years 4 months ago
Results Merging Algorithm Using Multiple Regression Models
: This paper describes a new algorithm for merging the results of remote collections in a distributed information retrieval environment. The algorithm makes use only of the ranks o...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
ICML
2007
IEEE
16 years 3 months ago
Kernelizing PLS, degrees of freedom, and efficient model selection
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
Mikio L. Braun, Nicole Krämer