公开(公告)号：US20190197077A1

公开(公告)日：2019-06-27

申请号：US15318229

申请日：2016-10-17

Applicant: GOOGLE LLC

Inventor： Xin Li ,  Fang Yang

IPC: G06F16/955 ,  G06N20/00 ,  H04L29/08 ,  H04L12/24

CPC classification number: G06F16/9566 ,  G06F16/9558 ,  G06N20/00 ,  H04L41/16 ,  H04L67/02 ,  H04L67/22 ,  H04L67/36 ,  H04L69/329

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying broken network connections. In one aspect, a system includes front-end server(s) that receive data specifying, for multiple different user interactions with one or more application links that link to a given application, presentation durations specifying how long application content linked to by the application link was presented following the multiple different user interactions with the application link(s). Back-end server(s) that communicate with the front end server(s) can classify each application link as broken or working based on application of a machine learning model to the presentation durations for the application link. The machine learning model can be generated using labeled training data. The back-end server(s) can generate and output an alert identifying an application link as a broken link based on the application link being classified as broken by the machine learning model.

公开(公告)号：US11361046B2

公开(公告)日：2022-06-14

申请号：US16798019

申请日：2020-02-21

Applicant: Google LLC

Inventor： Xin Li ,  Fang Yang

IPC: G06F3/00 ,  G06F16/955 ,  H04L67/75 ,  H04L41/16 ,  H04L67/50 ,  H04L69/329 ,  H04L67/63 ,  G06N20/00 ,  H04L67/02 ,  G06F11/34 ,  G06F11/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying broken network connections. In one aspect, a system includes front-end server(s) that receive data specifying, for multiple different user interactions with one or more application links that link to a given application, presentation durations specifying how long application content linked to by the application link was presented following the multiple different user interactions with the application link(s). Back-end server(s) that communicate with the front end server(s) can classify each application link as broken or working based on application of a machine learning model to the presentation durations for the application link. The machine learning model can be generated using labeled training data. The back-end server(s) can generate and output an alert identifying an application link as a broken link based on the application link being classified as broken by the machine learning model.