FIELD: machine learning.
SUBSTANCE: present technology relates to machine learning algorithms for formation of a training set for a machine learning algorithm in search engines. The method is implemented by a server, and it includes extraction from a database of a search log on the server of the first request previously sent to the server, the first SERP page related to the first request, the second request other than the first request and sent after the first request, and the second SERP page related to the second request. In this case, the first request and the second request are sent by an electronic device, the first SERP page contains the first set of search results, and the second SERP page contains the second set of search results. In response to the second request sent in the same search session as the first request, a training set is formed for use as negative training examples in training MLA algorithm.
EFFECT: provision of determination of relevant data by close related requests and documents to increase contrast by an example in training, increasing the quality of MLA training.
20 cl, 5 dwg
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Authors
Dates
2023-02-14—Published
2020-06-01—Filed