378 search results - page 16 / 76 » Learning to Rank with Supplementary Data |
WWW
2009
ACM
14 years 8 months ago
2009
ACM
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
KDD
2008
ACM
14 years 8 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...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...