812 search results - page 22 / 163 » Preference-based learning to rank |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
ALT
2008
Springer
14 years 6 months ago
2008
Springer
We propose a new boosting algorithm for bipartite ranking problems. Our boosting algorithm, called SoftRankBoost, is a modification of RankBoost which maintains only smooth distri...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
ECTEL
2007
Springer
14 years 3 months ago
2007
Springer
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
WWW
2008
ACM
14 years 10 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...