2164 search results - page 106 / 433 » Learning to rank for information retrieval |
159
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CIKM
2007
Springer
16 years 15 days ago
2007
Springer
Modern web search engines are expected to return top-k results efficiently given a query. Although many dynamic index pruning strategies have been proposed for efficient top-k com...
167
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JIIS
2006
15 years 6 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
174
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
173
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CIKM
2010
Springer
15 years 4 months ago
2010
Springer
Related entity finding is the task of returning a ranked list of homepages of relevant entities of a specified type that need to engage in a given relationship with a given sour...
191
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Although PageRank has been designed to estimate the popularity of Web pages, it is a general algorithm that can be applied to the analysis of other graphs other than one of hypert...