354 search results - page 14 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
COLING
2010
14 years 4 months ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
96
Voted
ML
2010
ACM
14 years 4 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
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...