378 search results - page 22 / 76 » Learning to Rank with Supplementary Data |
126
Voted
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
122
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
111
Voted
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
129
Voted
EMNLP
2009
15 years 1 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
139
Voted
ECML
2005
Springer
15 years 9 months ago
2005
Springer
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...