30 search results - page 1 / 6 » Query-level loss functions for information retrieval |
IPM
2008
13 years 4 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
When investigating alternative estimates for term discriminativeness, we discovered that relevance information and idf are much closer related than formulated in classical literat...
WSDM
2010
ACM
14 years 1 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
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...