公开(公告)号：WO2020018367A1

公开(公告)日：2020-01-23

申请号：PCT/US2019/041579

申请日：2019-07-12

Applicant: GOOGLE LLC

Inventor： WANTLAND, Tim ,  ODELL, Julian ,  KIM, Seungyeon ,  TURC, Iulia ,  RAMAGE, Daniel ,  HUANG, Wei ,  WANG, Kaikai

IPC: G06F9/54 ,  G06F3/023

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：WO2022081150A1

公开(公告)日：2022-04-21

申请号：PCT/US2020/055525

申请日：2020-10-14

Applicant: GOOGLE LLC

Inventor： HUANG, Wei ,  GARDNER, Joshua Patrick ,  DAUB, Michael William ,  MAYOROV, Alexander E.

IPC: G06F17/10 ,  G06F16/242 ,  G06N5/00 ,  G06N20/00 ,  G06Q10/10

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing digital components to a client device. Methods can include assigning a temporary group identifier to a client device that identifies a particular group, from among a plurality different groups, that includes the client device based on a current period of user activity on the client device. A training set is generated for training a machine learning model that generates user characteristics. A request for digital component is received from the client device that includes the temporary group identifier currently assigned to the client device, a subset of activity features and one or more additional features that are based on the client device. The machine learning model generates one or more user characteristics based on which one or more digital components are selected and transmitted to the client device.

公开(公告)号：WO2022071929A1

公开(公告)日：2022-04-07

申请号：PCT/US2020/053378

申请日：2020-09-30

Applicant: GOOGLE LLC

Inventor： GARDNER, Joshua Patrick ,  HUANG, Wei

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing the difference in performance of a model across groups and sub-groups within the same group of users with similar characteristics for providing digital components. Methods can include identifying, a loss function that generates a loss representing a measure of performance the model seeks to optimize during training. The loss function is modified by adding an additional term to the loss function. The model is trained using the modified loss function. A request for digital component is received that includes a user group identifier. The model generates one or more user characteristics based on which one or more digital components are selected and transmitted to the client device of the user.

公开(公告)号：WO2023075774A1

公开(公告)日：2023-05-04

申请号：PCT/US2021/057028

申请日：2021-10-28

Applicant: GOOGLE LLC

Inventor： QIAO, Yi ,  MAUSER, Arne ,  WANG, Chao ,  LIANG, Yizhong ,  HUANG, Wei

IPC: G06F16/9535 ,  G06F21/62 ,  G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models. In some aspects, a method includes identifying a first set of data for users of multiple user groups. For each user, a first party user identifier is obtained that identifies the individual user to a first party content provider. A second set of data describing activity of the user with respect to content of the first party content provider is identified. For each user, a contextual analysis of the first set and the second set of data is performed to generate one or more labels indicating user interest. A training dataset is generated based on the first set and the second set of data and a label. The training dataset is then used to train one or more machine learning models to predict user interest.

公开(公告)号：WO2021101529A1

公开(公告)日：2021-05-27

申请号：PCT/US2019/062297

申请日：2019-11-19

Applicant: GOOGLE LLC

Inventor： HUANG, Wei ,  SOLDO, Fabio ,  PAN, Tianyi ,  LEACH, Matthew

IPC: G06Q10/10 ,  G06F16/176 ,  G06F16/40

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.