76 search results - page 2 / 16 » Are click-through data adequate for learning web search rank... |
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
ICDE
2008
IEEE
13 years 11 months ago
2008
IEEE
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...