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ICML
2007
IEEE
16 years 5 months ago
On learning linear ranking functions for beam search
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
Yuehua Xu, Alan Fern
WWW
2009
ACM
16 years 5 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
WWW
2008
ACM
16 years 5 months ago
First workshop on targeting and ranking for online advertising
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a significant element of the Web browsing experience. Ad platforms used for ad selection use ...
Ewa Dominowska, Vanja Josifovski
SIGMOD
2003
ACM
240views Database» more  SIGMOD 2003»
16 years 4 months ago
XRANK: Ranked Keyword Search over XML Documents
We consider the problem of efficiently producing ranked results for keyword search queries over hyperlinked XML documents. Evaluating keyword search queries over hierarchical XML ...
Lin Guo, Feng Shao, Chavdar Botev, Jayavel Shanmug...
WISE
2007
Springer
15 years 11 months ago
Optimization of Bounded Continuous Search Queries Based on Ranking Distributions
A common search problem in the World Wide Web concerns finding information if it is not known when the sources of information appear and how long sources will be available on the ...
Dirk Kukulenz, Nils Hoeller, Sven Groppe, Volker L...