公开(公告)号：US20180218369A1

公开(公告)日：2018-08-02

申请号：US15422410

申请日：2017-02-01

Applicant: GOOGLE INC.

Inventor： Bingjun Xiao ,  Yuxing Zhang ,  Haichun Chen

IPC: G06Q20/40

CPC classification number: G06Q20/4016 ,  G06Q20/00 ,  G06Q20/12 ,  G06Q20/20

Abstract: A processing system processes transactions between users and merchant systems. The processing system extracts, for a group of transactions, features from each user transaction and generates, for each feature, a feature vector representing each transaction of the group of transactions. The processing system computes, for each feature vector shared between transactions, a similarity between each transaction and all other transactions of the group of transactions. The processing system clusters the transactions represented by the feature vectors via a hierarchical clustering algorithm based on the similarity values. The processing system, for each cluster of transactions, determines a volume of the cluster over time. For each cluster, the payment processing system determines whether the change in the volume of the cluster over time is anomalous or normal. If a cluster experienced anomalous growth, the payment processing system identifies the cluster as a potential new fraudulent transaction pattern.

公开(公告)号：US10241772B1

公开(公告)日：2019-03-26

申请号：US15204740

申请日：2016-07-07

Applicant: Google Inc.

Inventor： Huazhong Ning ,  Haichun Chen

IPC: G06F9/445 ,  G06F8/61 ,  G06Q50/00 ,  G06F17/30 ,  G06F3/0484

Abstract: A method is described that includes comprising receiving, by a first computing device and from a second computing device, an indication of user interaction with a first application. The method also includes determining, by the first computing device and based on the user interaction with the first application, a user engagement score associated with the first application, the user engagement score indicating at least one of how frequently or how long the user uses the first application. The method also includes responsive to determining that the user engagement score does not satisfy a threshold user engagement score, determining, by the first computing device and from a set of applications that are alternatives to the first application, a second application to substitute for the first application. The method further includes sending, by the first computing device and to the second computing device, for display, an indication of the second application.