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Learning to rank
Known as:
Machine learned ranking
, Machine learned relevance
, MLR
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Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement…
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Related topics
Related topics
33 relations
Bradley–Terry model
Collaborative filtering
Computational biology
Document retrieval
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
A Pharmacovigilance Study on Linear and Nonlinear QuantitativeStructure (Chromatographic) Retention Relationships (QSRR) Models forthe Prediction of Retention Time of Anticancer Nano Drugs…
A. Heidari
2016
Corpus ID: 55295099
Linear and non-linear Quantitative Structure (Chromatographic) Retention Relationships (QSRR) models for the prediction of…
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Highly Cited
2013
Highly Cited
2013
Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation
Yue Shi
,
M. Larson
,
A. Hanjalic
Information Sciences
2013
Corpus ID: 22368962
Highly Cited
2012
Highly Cited
2012
Energy and Cost Efficiency of Adaptive and Mixed-Line-Rate IP Over DWDM Networks
Axel Klekamp
,
U. Gebhard
,
F. Ilchmann
Journal of Lightwave Technology
2012
Corpus ID: 7489865
Optimization of IP over DWDM networks is studied under constraints of cost (CAPEX) and energy consumption. Realistic IP traffic…
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Highly Cited
2012
Highly Cited
2012
On the Design of Energy-Efficient Mixed-Line-Rate (MLR) Optical Networks
P. Chowdhury
,
M. Tornatore
,
A. Nag
,
E. Ip
,
Ting Wang
,
B. Mukherjee
Journal of Lightwave Technology
2012
Corpus ID: 23943390
With increasing energy consumption of the Internet, it is now imperative to design energy-efficient network architectures and…
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Review
2012
Review
2012
Arabic Semantic Web Applications – A Survey
Aya M Al‐zoghbya
,
Ahmed Sharaf
,
Eldin Ahmed
,
Taher T Hamza
2012
Corpus ID: 2205515
Arabic Language is the mother tongue for 23 countries and more than 350 million persons. Moreover, since it is the language of…
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Highly Cited
2011
Highly Cited
2011
Detecting Learning Moment-by-Moment
R. Baker
,
A. Goldstein
,
N. Heffernan
International Journal of Artificial Intelligence…
2011
Corpus ID: 11350839
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC…
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Highly Cited
2000
Highly Cited
2000
Avaliação do uso de métodos quimiométricos em análise de solos
Marcelo M. Sena
,
R. Poppi
,
R. T. Frighetto
,
P. J. Valarini
2000
Corpus ID: 94914959
One of the major interests in soil analysis is the evaluation of its chemical, physical and biological parameters, which are…
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Highly Cited
1998
Highly Cited
1998
Rising to the Top: Evaluating the Use of the HTML META Tag To Improve Retrieval of World Wide Web Documents through Internet Search Engines.
Thomas P. Turner
,
Lise Brackbill
1998
Corpus ID: 62721744
We evaluate the effectiveness of using the HTML META tag to improve retrieval of World Wide Web documents through Internet search…
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Highly Cited
1994
Highly Cited
1994
Regular papersCarbene complexes: XXIV2. Preparation and characterization of two enetetramine-derived carbenerhodium(I) chloride complexes RhCl(LR)3 and [RhCl(COD)LR] and the preparation and X-ray…
E. Çetinkaya
,
P. Hitchcock
,
H. Küçükbay
,
M. Lappert
,
S. Al-Juaid
1994
Corpus ID: 104369940
Highly Cited
1992
Highly Cited
1992
MLR: a recovery method for multi-level systems
D. Lomet
ACM SIGMOD Conference
1992
Corpus ID: 10698967
To achieve high concurrency in a database system has meant building a system that copes well with important special cases. Recent…
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