FIELD: information technology.
SUBSTANCE: invention relates to a method and server for analyzing information. Server provides receiving information related to the user of the mobile device that indicates the user's occupation, associating the user with the first employment class based on the received information, associated with the event type and the first machine learning algorithm (MLA), extracting the first data set from the device data based on the first busy class, which includes data from the first set of data types, applying the first logical analysis of the first machine learning algorithm (MLA) to the first data set, extracting the first machine learning algorithm (MLA) from the first data set of the first data pattern, which indicates the first busy event executed by the user, the first data pattern associated with the event type, and the first machine learning algorithm (MLA) definition of the first income value, associated with the first busy event based on the first data pattern, the first revenue value represents the revenue of the user of the mobile device.
EFFECT: technical result is to improve the accuracy of the analysis of user information.
20 cl, 7 dwg
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Authors
Dates
2019-01-11—Published
2017-04-05—Filed