8 search results - page 1 / 2 » Structured learning for non-smooth ranking losses |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
JMLR
2012
11 years 7 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
NIPS
2008
13 years 6 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
AI
2008
Springer
13 years 4 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
ECIR
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...