354 search results - page 21 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
109
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SIGIR
2011
ACM
14 years 14 days 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...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
76
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SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
KDD
2008
ACM
15 years 10 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...
118
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WWW
2007
ACM
15 years 10 months ago
2007
ACM
Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to ra...