公开(公告)号：US11888825B1

公开(公告)日：2024-01-30

申请号：US17397089

申请日：2021-08-09

Applicant: Google LLC

Inventor： Wei Huang ,  Fabio Soldo ,  Surbhi Maheshwari

IPC: H04L9/40 ,  G06N3/08

CPC classification number: H04L63/0421 ,  G06N3/08

Abstract: This document describes techniques for expanding user groups while preserving user privacy and data security. In one aspect, a method includes receiving, by a content platform and from a client device of a user, a request for a digital component that also includes a user identifier. A determination is made that the user identifier is included in a user list that includes multiple user identifiers respectively corresponding to multiple users in a user action group. In response to determining that the unique identifier is included in the user list, a digital component of the entity for which the user list is generated is selected and provided to the client device of the user for display to the user of the client device.

公开(公告)号：US20240012540A1

公开(公告)日：2024-01-11

申请号：US18471966

申请日：2023-09-21

Applicant: Google LLC

Inventor： Tim Wantland ,  Julian Odell ,  Seungyeon Kim ,  Iulia Turc ,  Daniel Ramage ,  Wei Huang ,  Kaikai Wang

IPC: G06F3/0482 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  G06F3/0484

Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

公开(公告)号：US20210141501A1

公开(公告)日：2021-05-13

申请号：US17156972

申请日：2021-01-25

Applicant: Google LLC

Inventor： Tim Wantland ,  Julian Odell ,  Seungyeon Kim ,  Iulia Turc ,  Daniel Ramage ,  Wei Huang ,  Kaikai Wang

IPC: G06F3/0482 ,  G06F3/0484

Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

公开(公告)号：US20250111272A1

公开(公告)日：2025-04-03

申请号：US18574668

申请日：2023-04-25

Applicant: Google LLC

Inventor： Wei Huang ,  Zhenyu Liu ,  Liang Wang ,  Kumar Rishabh

IPC: G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing digital contents to client devices are described. The system obtains, for each user in a set of users, user attribute data and, for a subset of the users, consent data for controlling usage of the user attribute data. The system partitions, based at least on the consent data for the subset of users, the set of users into a first group of users and a second group of users. The system generates a respective training dataset based on the data for each group of user, and uses the datasets to train a machine learning model configured to predict information about one or more users. In particular, the system applies differential privacy to the second training dataset without applying differential privacy to the first training dataset during training.

公开(公告)号：US20250094508A1

公开(公告)日：2025-03-20

申请号：US18577448

申请日：2023-01-18

Applicant: Google LLC

Inventor： Wei Huang ,  Zhenyu Liu ,  Liang Wang ,  Kumar Rishabh

IPC: G06F16/9535 ,  G06F16/9537

Abstract: Methods, systems, and media comprising; obtaining, from a client device and during a browsing session conducted by a user, contextual features relating to context within the browsing session, wherein the contextual features do not include any personally-identifiable data; generating, using a trained contextual model and based on the contextual features, an audience interest profile, wherein the audience interest profile represents a prediction of affinity to one or more content categories, wherein the trained contextual model is trained using a set of historical contextual data aggregated from a plurality of prior browsing sessions and audience interest profiles that each represent an affinity to one or more content categories, and wherein the set of historical contextual data does not include any personally-identifiable data; identifying, based on the generated audience interest profile, a digital component for provision; and providing, for display on the client device and during the browsing session, the digital component.

公开(公告)号：US20250086300A1

公开(公告)日：2025-03-13

申请号：US18574715

申请日：2023-04-24

Applicant: Google LLC

Inventor： Wei Huang ,  Zhenyu Liu

IPC: G06F21/62

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing digital contents to client devices are described. For each of a plurality of client devices, the system receives a digital component request, identifies one or more user attributes of a user based on the digital component request, and sends the identified user attributes to the client device. The system obtains, from a shared storage of each client device, accumulated user attribute data and generates an aggregated user attribute report for a set of aggregation keys using the obtained accumulated user attribute data. The system distributes digital components to the client devices based on distribution parameters adjusted based on the aggregated user attribute report.

公开(公告)号：US12130875B2

公开(公告)日：2024-10-29

申请号：US18008604

申请日：2022-06-02

Applicant: Google LLC

Inventor： Wei Huang ,  Arne Mauser

IPC: G06F16/9535 ,  G06F16/906 ,  G06N20/00 ,  H04L67/306 ,  H04L67/50 ,  H04L67/55

CPC classification number: G06F16/9535 ,  G06F16/906 ,  G06N20/00 ,  H04L67/306 ,  H04L67/535 ,  H04L67/55

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting and distributing digital components based on predicted user attributes of users are described. In one aspect, a method includes obtaining data indicating content categories of content of the content pages accessed by the user during the user visits. A determination is made for an aggregate measure of each content category based on a quantity of user visits to content pages of the electronic resource of the publisher that included content classified as belonging to the content category. User attribute prediction data indicating previously predicted user attributes of the user is obtained. User attributes are predicted for the current visit of the user to the electronic resource of the publisher that is further used to select digital components for display with the electronic resource on a client device during the current visit.

公开(公告)号：US20230023973A1

公开(公告)日：2023-01-26

申请号：US17778371

申请日：2019-11-19

Applicant: GOOGLE LLC

Inventor： Wei Huang ,  Fabio Soldo ,  Tianyi Pan ,  Matthew Leach

IPC: H04N21/61 ,  H04N21/258 ,  G06F3/04847

Abstract: A system and method are disclosed for identifying a media item to be provided to a group of users of a content sharing platform, wherein the media item is associated with a category, and wherein each user in the group of users is associated with a weight indicating a probability of a correspondence between a respective user and the category associated with the media item, receiving a request to change a size of the group of users from a first level to a second level, the first level corresponding to a first weight threshold for the group of users, and calculating, based a value indicating a difference between the first level and the second level, a second weight threshold for the group of users corresponding to the second level, the second weight threshold to be subsequently used to determine whether the media item is to be provided to a user requesting content from the content sharing platform.

公开(公告)号：US12192180B1

公开(公告)日：2025-01-07

申请号：US18525185

申请日：2023-11-30

Applicant: Google LLC

Inventor： Wei Huang ,  Fabio Soldo ,  Surbhi Maheshwari

IPC: H04L9/40 ,  G06N3/08

Abstract: This document describes techniques for expanding user groups while preserving user privacy and data security. In one aspect, a method includes receiving, by a content platform and from a client device of a user, a request for a digital component that also includes a user identifier. A determination is made that the user identifier is included in a user list that includes multiple user identifiers respectively corresponding to multiple users in a user action group. In response to determining that the unique identifier is included in the user list, a digital component of the entity for which the user list is generated is selected and provided to the client device of the user for display to the user of the client device.

公开(公告)号：US20240054392A1

公开(公告)日：2024-02-15

申请号：US18009178

申请日：2022-04-01

Applicant: Google LLC

Inventor： Wei Huang ,  Alexander E. Mayorov

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using transfer machine learning to predict attributes are described. In one aspect, a method includes receiving, from a client device of a user, a digital component request that includes at least input contextual information for a display environment in which a selected digital component will be displayed. The contextual information is converted into input data that includes input feature values for a transfer machine learning model trained to output predictions of user attributes of users based on feature values for features representing display environments. The transfer machine learning model is trained using training data for subscriber users obtained from a data pipeline associated with electronic resources to which the subscriber users are subscribed and adapted to predict user attributes of non-subscribing users viewing electronic resources to which the non-subscribing users are not subscribed.