Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)

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Feature Ranking for Total Ordering Ranking Problems

Authors
Yongqing Wang, Daniel Zeng
Corresponding Author
Yongqing Wang
Available Online December 2010.
DOI
10.2991/icebi.2010.11How to use a DOI?
Keywords
Total ordering ranking, feature ranking, balance control
Abstract

In this paper, we first introduce the development of learning to rank and discuss the problems existing in this field especially the ignorance of total ordering ranking. For dealing with the total ordering ranking problem, we assume a method ¡°feature ranking¡±. Based the assumption, we design two algorithms: Feature Rank and BL-FeatureRank. BL-FeatureRank with balance control is a complementary algorithm of Feature Rank for the purpose of performance improvement and robustness.

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
Series
Advances in Intelligent Systems Research
Publication Date
December 2010
ISBN
978-90-78677-40-6
ISSN
1951-6851
DOI
10.2991/icebi.2010.11How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Yongqing Wang
AU  - Daniel Zeng
PY  - 2010/12
DA  - 2010/12
TI  - Feature Ranking for Total Ordering Ranking Problems
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 71
EP  - 77
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.11
DO  - 10.2991/icebi.2010.11
ID  - Wang2010/12
ER  -