FIELD: information technology.
SUBSTANCE: invention relates to method and server of repeated training of machine learning algorithm (MLA). Method comprises invoking a server through a communication network to a resource comprising a plurality of content items, each of which was sent to this resource by at least one user; identifying based on a first set of features a content item from a plurality of content items associated with a document, represented by a search engine server as a search result in response to a search query; analysis based on feature set of document of content element to determine whether this document was incorrectly classified by MLA algorithm in response to search request; and if it is determined that the document was incorrectly classified, forming a training object based on that document, including assigning a label to the document in form of an indication of incorrect classification, and repeated training of MLA algorithm on the basis of this training object.
EFFECT: technical result is higher efficiency of training MLA by performing repeated training.
28 cl, 7 dwg
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Authors
Dates
2021-03-01—Published
2019-04-15—Filed