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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… 
2010
2010
A recent query-log mining approach for query recommendation is based on Query Flow Graphs, a markov-chain representation of the… 
2010
2010
When micro logging becomes a very popular social media, finding interesting posts from high volume stream of user posts is a… 
2009
2009
This paper describes experiments carried out at NiCT for the TREC 2009 Entity Ranking track. Our main study is to develop an… 
2006
2006
A linear quantitative structure activity relationship model is obtained using Multiple Linear Regression (MLR) analysis as… 
Review
2005
Review
2005
Web Intelligence, World Knowledge and Fuzzy Logic.- Towards More Powerful Information Technology via Computing with Words and… 
2000
2000
Two dendritic cell (DC) subsets have been identified in the murine system on the basis of their differential CD8a expression… 
1999
1999
This article discusses improving the search on the internet by using WordNet and lexical operators. 
1997
1997
Experimental values for the liquid viscosity (η) at 20 °C ranging from 0.164 mPa·s (trans-2-pentene) to 1490 mPa·s (glycerol…