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Learning to rank

Known as: Machine learned ranking, Machine learned relevance, MLR 
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement… 
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Linear and non-linear Quantitative Structure (Chromatographic) Retention Relationships (QSRR) models for the prediction of… 
Highly Cited
2012
Highly Cited
2012
Optimization of IP over DWDM networks is studied under constraints of cost (CAPEX) and energy consumption. Realistic IP traffic… 
Highly Cited
2012
Highly Cited
2012
With increasing energy consumption of the Internet, it is now imperative to design energy-efficient network architectures and… 
Review
2012
Review
2012
Arabic Language is the mother tongue for 23 countries and more than 350 million persons. Moreover, since it is the language of… 
Highly Cited
2011
Highly Cited
2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC… 
Highly Cited
2000
Highly Cited
2000
One of the major interests in soil analysis is the evaluation of its chemical, physical and biological parameters, which are… 
Highly Cited
1998
Highly Cited
1998
We evaluate the effectiveness of using the HTML META tag to improve retrieval of World Wide Web documents through Internet search… 
Highly Cited
1992
Highly Cited
1992
To achieve high concurrency in a database system has meant building a system that copes well with important special cases. Recent…