Generalized BROOF-L2R
Author:
Affiliation:
1. Federal University of Minas gerais, Belo Horizonte, Brazil
2. University Federal of Minas Gerais, Belo Horizonte, Brazil
Funder
FAPEMIG
Google Inc. Research Awards for Latin America
InWeb
MASWeb
Capes
CNPq
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2911451.2911540
Reference33 articles.
1. Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers
2. A comparative study of learning-to-rank techniques for tag recommendation;Canuto S. D.;JIDM,2013
3. Collaborative Ranking with a Push at the Top
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