448 search results - page 8 / 90 » Directly optimizing evaluation measures in learning to rank |
SIGIR
2012
ACM
13 years 2 days ago
2012
ACM
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
85
Voted
ICML
2010
IEEE
14 years 7 months ago
2010
IEEE
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
94
Voted
ECML
2007
Springer
15 years 3 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
Combining learning with vision techniques in interactive image retrieval has been an active research topic during the past few years. However, existing learning techniques either ...