354 search results - page 7 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
IJCAI
2003
14 years 11 months ago
2003
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...
EDBT
2009
ACM
15 years 4 months ago
2009
ACM
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...
ECAI
2006
Springer
15 years 1 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
ICML
2007
IEEE
15 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...