2164 search results - page 22 / 433 » Learning to rank for information retrieval |
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
WSDM
2010
ACM
14 years 16 days ago
2010
ACM
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
ACMSE
2010
ACM
13 years 2 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...