MatrixNet

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

CERN is using the algorithm to analyze and search through the colossal data outputs generated by the use of the Large Hadron Collider.[4][5]

gollark: Oh. Weird.
gollark: I don't get it. That looks like a normal, if overenthusiastically branded, box of contact lenses.
gollark: https://media.discordapp.net/attachments/348702212110680064/864474691376119828/image0-27.png?width=534&height=422
gollark: In which case losing your balance over time would be particularly bad, yes.
gollark: I mean, up to a point.

See also

References
  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.
  5. "SEO Company". Sunday, February 23, 2020
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