An evolutionary strategy with machine learning for learning to rank in information retrieval

Author:

Ibrahim Osman Ali SadekORCID,Landa-Silva D.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference34 articles.

1. Baeza-Yates RA, Ribeiro-Neto BA (2011) Modern information retrieval–the concepts and technology behind search, 2nd edn. Pearson Education Ltd., Harlow

2. Beyer H-G, Schwefel H-P (2002) Evolution strategies—a comprehensive introduction. Nat Compu 1:3–52

3. Breiman L (2001) Random forests. Mach Learn 45(1):5–32. https://doi.org/10.1023/A:1010933404324

4. Brownlee J (2017) Overfitting and underfitting with machine learning algorithms. https://machinelearningmastery.com/overfitting-and-underfitting-with-machine-learning-algorithms/

5. Burges CJC (2010) From RankNet to LambdaRank to LambdaMART: an overview. Technical report, Microsoft Research. http://research.microsoft.com/en-us/um/people/cburges/tech_reports/MSR-TR-2010-82.pdf

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