公开(公告)号：US20190311287A1

公开(公告)日：2019-10-10

申请号：US16322433

申请日：2017-01-24

Applicant: Google LLC

Inventor： Sue Yi Chew ,  Deepak Ramamurthi Sivaramapuram Chandrasekaran ,  Bo Fu ,  Prachi Gupta ,  Kunal Jain ,  Thomas Price ,  Sarvjeet Singh ,  Jierui Xie

IPC: G06N20/00 ,  G06F11/34 ,  G06N7/00

Abstract: Balancing content distribution between a machine learning model and a statistical model provides a baseline assurance in combination with the benefits of a well-trained machine learning model for content selection. In some implementations, a server receiving requests for a content item assigns a first proportion of the received requests to a first group and assigns remaining requests to a second group. The server uses a machine learning model to select variations of the requested content item for responding to requests assigned to the first group and uses a statistical model to select content variations for requests assigned to the second group. The server obtains performance information, e.g., acceptance rates for the different variations, and compares performance of the different models used for content selection. Audience share assigned to the machine learning model is increased when it outperforms the statistical model and decreased when it underperforms the statistical model.

公开(公告)号：US20190095606A1

公开(公告)日：2019-03-28

申请号：US15715815

申请日：2017-09-26

Applicant: GOOGLE LLC

Inventor： Justin Lewis ,  Thomas Price

IPC: G06F21/41 ,  H04L29/06 ,  G06F21/40

Abstract: A method includes prompting, by a first application installed on a client electronic device, a user to install a second application on the client electronic device, and prompting, by the first application, the user to authorize preemptive sign-in to the second application. In response to receiving an indication from the user to install the second application and receiving an indication from the user to authorize preemptive sign-in to the second application, the second application is installed, and a two-factor authentication code that authorizes the user to sign into the second application is generated. The method includes sending a message to the second application, launching the second application, and automatically signing the user into the second application without requiring the user to provide the two-factor authentication code or any other form of second-factor authentication.

公开(公告)号：US12242531B2

公开(公告)日：2025-03-04

申请号：US18214719

申请日：2023-06-27

Applicant: GOOGLE LLC

Inventor： Thomas Price ,  Tuna Toksoz

IPC: G06F16/583 ,  G06F16/958 ,  G06F18/243 ,  G06Q30/0241 ,  G06V30/224

Abstract: Systems and methods are described for providing an interface and facilitating selection of sponsored content networks that provide sponsored content items. This may include providing, by a mediation server, a user interface to a publisher server, the user interface configured to provide access to data stored on the mediation server; receiving a metric associated with a rule for filtering content items associated with the publisher; applying the metric to a content network list associated with the publisher using the user interface to generate an updated content network list; and transmitting mediation code including the updated content network list to the publisher server, wherein the mediation code, when executed by a user device, (i) causes the user device to control display of content items according to the updated content network list and (ii) allows the user device to flag at least one content item for modifying the updated content network list.

公开(公告)号：US12073292B2

公开(公告)日：2024-08-27

申请号：US16322433

申请日：2017-01-24

Applicant: Google LLC

Inventor： Sue Yi Chew ,  Deepak Ramamurthi Sivaramapuram Chandrasekaran ,  Bo Fu ,  Prachi Gupta ,  Kunal Jain ,  Thomas Price ,  Sarvjeet Singh ,  Jierui Xie

IPC: G06N20/00 ,  G06F11/34 ,  G06N7/00 ,  G06Q10/04 ,  G06Q30/0202

CPC classification number: G06N20/00 ,  G06F11/3495 ,  G06N7/00 ,  G06Q10/04 ,  G06Q30/0202

Abstract: Balancing content distribution between a machine learning model and a statistical model provides a baseline assurance in combination with the benefits of a well-trained machine learning model for content selection. In some implementations, a server receiving requests for a content item assigns a first proportion of the received requests to a first group and assigns remaining requests to a second group. The server uses a machine learning model to select variations of the requested content item for responding to requests assigned to the first group and uses a statistical model to select content variations for requests assigned to the second group. The server obtains performance information, e.g., acceptance rates for the different variations, and compares performance of the different models used for content selection. Audience share assigned to the machine learning model is increased when it outperforms the statistical model and decreased when it underperforms the statistical model.

公开(公告)号：US12034989B2

公开(公告)日：2024-07-09

申请号：US18103378

申请日：2023-01-30

Applicant: Google LLC

Inventor： Justin Lewis ,  Thomas Price

IPC: H04N21/25 ,  H04L41/16 ,  H04L67/10 ,  H04N21/258 ,  H04L43/0817

CPC classification number: H04N21/252 ,  H04L41/16 ,  H04L67/10 ,  H04N21/25841 ,  H04N21/25858 ,  H04N21/25891 ,  H04L43/0817

Abstract: Training data for a machine learning model is generated. Generating the training data includes generating first training input, the first training input including first contextual information associated with a first user device of multiple user devices associated with a user account. The first contextual information identifies first location information corresponding to the first user device. A first target output for the first training input is generated. The first target output identifies an indication of a preference associated with the user account to cancel a first transmission of one or more media items to the first user device. The training data is provided to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

公开(公告)号：US20200211038A1

公开(公告)日：2020-07-02

申请号：US16814753

申请日：2020-03-10

Applicant: Google LLC

Inventor： Thomas Price ,  Tuna Toksoz

IPC: G06Q30/02

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

公开(公告)号：US20180189811A1

公开(公告)日：2018-07-05

申请号：US15906954

申请日：2018-02-27

Applicant: Google LLC

Inventor： Thomas Price ,  Tuna Toksoz

IPC: G06Q30/02

CPC classification number: G06Q30/0204 ,  G06Q30/0201

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

公开(公告)号：US11570498B2

公开(公告)日：2023-01-31

申请号：US17465543

申请日：2021-09-02

Applicant: Google LLC

Inventor： Justin Lewis ,  Thomas Price

IPC: H04N21/25 ,  H04N21/258 ,  H04L41/16 ,  H04L67/10 ,  H04L43/0817

Abstract: A system and method are disclosed for training a machine learning model using information pertaining to transmissions of one or more media items to user devices associated with a user account. Generating training data for the machine learning model includes generating first contextual information associated with a first user device and generating a first target output that identifies an indication of a preference of a user preference to cancel the first transmission. The method includes providing the training data to train the machine learning model.

公开(公告)号：US20210352150A1

公开(公告)日：2021-11-11

申请号：US17382420

申请日：2021-07-22

Applicant: Google LLC

Inventor： Justin Lewis ,  Thomas Price

IPC: H04L29/08 ,  G06F16/958 ,  G06F16/955

Abstract: Systems and methods for maintaining session identifiers across multiple webpages for content selection are described herein. A server can generate a session identifier corresponding to the client device for use in selecting content to be served across the information resources of a content publisher. The server can then receive, from the client device, a request for instructions to insert into a header of an information resource for selecting a content provider. The server can determine that the request includes the session identifier that matches the one generated for a previous request. The server can obtain a parameter value for each content provider with the session identifier. The server can select a content provider using the parameter values. The server can provide a script to the client device for the header. The script can be configured to cause the client device to obtain a content item from the selected content provider to insert into the information resource.

公开(公告)号：US20210099372A1

公开(公告)日：2021-04-01

申请号：US17118127

申请日：2020-12-10

Applicant: Google LLC

Inventor： Tuna Toksoz ,  Thomas Price

IPC: H04L12/26 ,  H04L29/08 ,  G06Q30/02 ,  G06Q10/06

Abstract: Systems and methods of reducing latency in online network traffic are provided. The system can include a processor and a memory couple to the processor. The memory stores computer-executable instructions, which when executed by the processor, cause the processor to identify an indication of an interaction with a content item presented within a content slot of an information resource, generate a click identifier that uniquely identifies the interaction, transmit a first request comprising a click resource link including the click identifier to a click server, and transmit a second request to access the landing page of the content item independent of transmitting the first request. The second request comprises a generated resource link that identifies a resource identifier of the landing page of the content item and the click identifier.