METHODS AND SYSTEMS FOR SELECTING TARGETED CONTENT BY MACHINE LEARNING ALGORITHM

METHODS AND SYSTEMS FOR SELECTING TARGETED CONTENT BY MACHINE LEARNING ALGORITHM

Methods and systems for selecting targeted content by a machine learning algorithm (MLA) comprising: receiving and storing as a negative training example a first set of indications of blocked targeted content having been triggered by a user, each indication including a plurality of attributes of a b...

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Bibliographische Detailangaben
Hauptverfasser: Timko, Dmitry Sergeevich, IVANOV, Roman Kirillovitch, PAPILOV, Artem Alekseevich
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:Methods and systems for selecting targeted content by a machine learning algorithm (MLA) comprising: receiving and storing as a negative training example a first set of indications of blocked targeted content having been triggered by a user, each indication including a plurality of attributes of a blocked targeted content, receiving and storing as a positive training example a second set of indications of targeted content, each indication of the second set of indications comprising a plurality of attributes of a targeted content, training the MLA based on the positive training example and the negative training example to determine a type of to-be-selected targeted content, the type being one of a positive or a negative targeted content, responsive to receiving to-be-selected targeted content, determining based on the plurality of attributes of the targeted content the type of the targeted content and causing the electronic device to block negative type targeted content.