378 search results - page 8 / 76 » Learning to Rank with Supplementary Data |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
KDD
2010
ACM
13 years 11 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...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
BIOINFORMATICS
2005
13 years 7 months ago
2005
NAACL
2010
13 years 5 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...