公开(公告)号：US10999467B2

公开(公告)日：2021-05-04

申请号：US16885383

申请日：2020-05-28

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Dake He

IPC: H04N1/32 ,  H04N1/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for context-adaptive scanning of digital components. In one aspect, a method comprises: selecting a given digital component from among a plurality of digital components based on a current scanning priority of the given digital component; scanning the given digital component, comprising determining a current state of the given digital component; determining a current context of the given digital component based on one or more of: (i) the current state of the given digital component, or (ii) a current scan index of the given digital component that specifies a number of times the given digital component has been scanned; determining an updated scanning priority of the given digital component based on the current context of the given digital component; and re-scanning the given digital component according to the updated scanning priority.

公开(公告)号：US11843513B2

公开(公告)日：2023-12-12

申请号：US17799428

申请日：2020-02-24

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Pushkarini Hemchandra Agharkar ,  Dake He

IPC: H04L41/142 ,  H04L41/12

CPC classification number: H04L41/142 ,  H04L41/12

Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.

公开(公告)号：US10701238B1

公开(公告)日：2020-06-30

申请号：US16408126

申请日：2019-05-09

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Dake He

IPC: H04N1/32 ,  H04N1/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for context-adaptive scanning of digital components. In one aspect, a method comprises: selecting a given digital component from among a plurality of digital components based on a current scanning priority of the given digital component; scanning the given digital component, comprising determining a current state of the given digital component; determining a current context of the given digital component based on one or more of: (i) the current state of the given digital component, or (ii) a current scan index of the given digital component that specifies a number of times the given digital component has been scanned; determining an updated scanning priority of the given digital component based on the current context of the given digital component; and re-scanning the given digital component according to the updated scanning priority.

公开(公告)号：US20250086502A1

公开(公告)日：2025-03-13

申请号：US18560756

申请日：2022-12-30

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Dake He

IPC: G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data objects. One of the methods includes maintaining a dataset including reference data objects that each have one or more labels, one or more features, or both; receiving a request to add, to the dataset, a new data object that has one or more features but is missing one or more labels; selecting N neighbor data objects based on similarity scores of the neighbor data objects with respect to the new data object; generating a neighborhood feature vector for the new data object; processing the neighborhood feature vector using a machine learning model to predict the one or more labels for the new data object; and updating the dataset to include the new data object and to associate the one or more predicted labels with the new data object.

公开(公告)号：US20240089177A1

公开(公告)日：2024-03-14

申请号：US18497571

申请日：2023-10-30

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Pushkarini Hemchandra Agharkar ,  Dake He

IPC: H04L41/142 ,  H04L41/12

CPC classification number: H04L41/142 ,  H04L41/12

Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.

公开(公告)号：US20230080618A1

公开(公告)日：2023-03-16

申请号：US17799428

申请日：2020-02-24

Applicant: Google LLC

Inventor： Oleg Golubitsky ,  Pushkarini Hemchandra Agharkar ,  Dake He

IPC: H04L41/142 ,  H04L41/12

Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.