FIELD: abnormal crowdsourcing label detection systems.
SUBSTANCE: invention relates to the field of defining an abnormal crowdsourcing label, in particular to methods and systems for detecting the source of an abnormal crowdsourcing label. The effect of the proposed technical solution is achieved by the fact that the claimed method provides for the possibility of analyzing part of the set of crowdsourcing labels; identifying an anomalous subset of crowdsourced labels; getting browsing history; dividing browsing history into groups; forming a set of web resources based on the analysis of groups and matching the web resource with the source of the external triggering event.
EFFECT: optimization of network traffic and reduction of load on network servers.
23 cl, 16 dwg, 2 tbl
