caa a22 4500 605477841 CHVBK 20210128100403.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10994-014-5442-3 doi (NATIONALLICENCE)springer-10.1007/s10994-014-5442-3 DEARank: a data-envelopment-analysis-based ranking method [Elektronische Daten] [Chunheng Jiang, Wenbin Lin] A new weak-ranker construction method based on Data Envelopment Analysis technique is presented. Each weak ranker represents a feature subset drawn from the complete feature space. Two linear programming models are formulated, both of which treat the documents to be ranked as the decision making units. By solving the models, we constructa pool of weak-ranker candidates from the optimal weight vectors, and then develop DEARank algorithm based on Boosting technique. We conduct extensive experiments on LETOR 3.0 and LETOR 4.0 collections, with twelve well-known algorithms as the baselines. The experimental results indicate that DEARank is a competitive learning to rank algorithm. The Author(s), 2014 Learning to rank nationallicence Listwise nationallicence Data envelopment analysis nationallicence Boosting nationallicence Jiang Chunheng School of Mathematics, Southwest Jiaotong University, Chengdu, China aut Lin Wenbin School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, China aut Machine Learning Springer US; http://www.springer-ny.com 101/1-3(2015-10-01), 415-435 0885-6125 101:1-3<415 2015 101 10994 https://doi.org/10.1007/s10994-014-5442-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10994-014-5442-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jiang Chunheng School of Mathematics, Southwest Jiaotong University, Chengdu, China aut NATIONALLICENCE 700 1- Lin Wenbin School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, China aut NATIONALLICENCE 773 0- Machine Learning Springer US; http://www.springer-ny.com 101/1-3(2015-10-01), 415-435 0885-6125 101:1-3<415 2015 101 10994