354 search results - page 2 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
NIPS
2004
14 years 7 days ago
2004
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
NAACL
2010
13 years 8 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
SIGIR
2008
ACM
13 years 10 months ago
2008
ACM
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
ICCBR
2007
Springer
14 years 5 months ago
2007
Springer
The problem of label ranking has recently been introduced as an extension of conventional classification in the field of machine learning. In this paper, we argue that label ran...
ICTIR
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. A useful ability for search engines is to be able to rank objects with novelty and diversity: the top k documents retrieved should cover possible interpretations of a que...