METHOD AND SYSTEM FOR TRAINING MACHINE LEARNING ALGORITHM TO PREDICT VISIBILITY ASSESSMENT Russian patent published in 2024 - IPC G06N3/08 G06N20/00 

Abstract RU 2814079 C1

FIELD: machine learning.

SUBSTANCE: invention is related to a method and system for training a machine learning algorithm to predict a visibility score indicating the likelihood of viewing a targeted message posted on a web resource. The method is performed on the server and includes generating a training data set by receiving a plurality of training targeted messages and a training web resource containing a plurality of fields for targeted messages intended to contain one or more training targeted messages; initiating display of a training web resource by the training electronic device; initiating display of a web resource by the training electronic device after the educational user accesses the training web resource using the training electronic device during the next time interval; tracking an activity parameter indicating the training user's interaction with one of a plurality of training targeted messages; and generating a training data set.

EFFECT: increase of accuracy of predicting viewing of a targeted message.

20 cl, 6 dwg

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RU 2 814 079 C1

Authors

Stebelev Maksim Ilich

Vorozhtsov Artem Viktorovich

Kalinin Pavel Vladimirovich

Dates

2024-02-21Published

2022-04-12Filed