62 search results - page 5 / 13 » Cost-Sensitive Learning of SVM for Ranking |
AAAI
2008
13 years 8 months ago
2008
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
ML
2008
ACM
13 years 5 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
ECIR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
KDD
2005
ACM
14 years 6 months ago
2005
ACM
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
DEXAW
2010
IEEE
13 years 5 months ago
2010
IEEE
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...