Anomaly detection for online endorsement event
AssigneeGoogle Inc.
InventorsKatherine Huang, Nandini Kappiah, Xavier Llora, Andrew Sellergren
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AssigneeGoogle Inc.
InventorsKatherine Huang, Nandini Kappiah, Xavier Llora, Andrew Sellergren
Estimating the term…
A system for protecting endorsement events against anomalous behaviors is disclosed. The system includes a data collecting module, an activity recording module, an aggregation module, a detection module and an action module. The data collecting module collects event data describing one or more endorsement events. The activity recording module records activity data associated with the one or more endorsement events. The aggregation module aggregates the activity data. The detection module detects, based at least in part on the aggregation of the activity data, one or more anomalies associated with the one or more endorsement events. The action module takes one or more protection actions responsive to the detection of the one or more anomalies. The present disclosure also includes a method for protecting endorsement events against anomalous behaviors.
A method comprising:
A computer program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:
A system comprising:
Dependencies are inferred from the claim text.