MatrixNet

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MatrixNet is a proprietary machine learning algorithm developed by Yandex and used widely throughout the company products. The algorithm is based on gradient boosting and was introduced since 2009.^[1][2][3]

Application[edit]

CERN is using the algorithm to analyze and search through the colossal data outputs generated by the use of the Large Hadron Collider.^[4]

See also[edit]

• Yandex Zen

References[edit]

1. ^ MatrixNet: New Level of Search Quality. Retrieved 2015-12-24.
2. ^ Yandex Boosts Precision Ad Targeting; Machine-Learning Method MatrixNet Is Behind The Scenes. Retrieved 2015-12-24.
3. ^ "Wix SEO guide". Tuesday, 18 June 2019
4. ^ CERN boosts its search for antimatter with Yandex’s MatrixNet search engine tech. Retrieved 2015-12-24.

Categories: 

• Internet search engines
• Search engine optimization
• Yandex

source https://tessrijogo.blogspot.com/2019/11/matrixnet.html