公开(公告)号：US20190251639A1

公开(公告)日：2019-08-15

申请号：US16397550

申请日：2019-04-29

Applicant: Google LLC

Inventor： Neha Pattan ,  Jennifer W. Lin

IPC: G06Q50/00

CPC classification number: G06Q50/01

Abstract: Methods and systems are provided for determining the intent of a recommendation made by a user of a mobile application where the application includes a plurality of separable components, any one or more of which the recommendation can apply to. An application in which a user recommendation control is provided for presentation to a user also includes a tag indicating how a recommendation of the application should be interpreted with respect to the components included therein. The tag can be set by the application developer and can be in the form of text (e.g., a keyword or term) or a uniform resource locator (URL). Where a tag references multiple components of an application, a recommending user can be presented with a recommendation intent query. The recommendation intent query allows a user to designate one or more components of the application to which the user's recommendation should be attributed.

公开(公告)号：US11368385B1

公开(公告)日：2022-06-21

申请号：US17028460

申请日：2020-09-22

Applicant: Google LLC

Inventor： Anna Berenberg ,  Venkat Subbaiah Naidu Kotla ,  Neha Pattan ,  Uday Ramakrishna Naik ,  Prajakta Joshi ,  Ines Envid

IPC: H04L12/803 ,  H04L45/02 ,  H04L61/5007 ,  H04L67/1001 ,  H04L67/02 ,  H04L67/56

Abstract: Grouping virtualized computing instances in cloud environments can be achieved utilizing groups of network endpoints, such as hardware devices, virtualized computing instances, etc. The network endpoint group (NEG) provides a logical grouping for providers of backend services that may be arranged on the network endpoints, and may be organized based on the backend service to be provided by the computing environments that operate as network endpoints. For example, the NEGs may be implemented for load balancing applications. The network endpoint groups, and the network endpoints included therein, may be managed using a framework of tools, libraries and application programming interfaces.

公开(公告)号：US10719891B2

公开(公告)日：2020-07-21

申请号：US16397550

申请日：2019-04-29

Applicant: Google LLC

Inventor： Neha Pattan ,  Jennifer W. Lin

IPC: G06F17/00 ,  G06Q50/00

Abstract: Methods and systems are provided for determining the intent of a recommendation made by a user of a mobile application where the application includes a plurality of separable components, any one or more of which the recommendation can apply to. An application in which a user recommendation control is provided for presentation to a user also includes a tag indicating how a recommendation of the application should be interpreted with respect to the components included therein. The tag can be set by the application developer and can be in the form of text (e.g., a keyword or term) or a uniform resource locator (URL). Where a tag references multiple components of an application, a recommending user can be presented with a recommendation intent query. The recommendation intent query allows a user to designate one or more components of the application to which the user's recommendation should be attributed.

公开(公告)号：US10444957B1

公开(公告)日：2019-10-15

申请号：US15927427

申请日：2018-03-21

Applicant: Google LLC

Inventor： Neha Pattan ,  Jennifer W. Lin

IPC: G06F17/00 ,  G06F3/0484 ,  G06F3/0482 ,  G06F17/24 ,  H04L29/06 ,  G06F16/248 ,  G06F16/9535 ,  G06F16/2457

Abstract: Methods and systems are provided for presenting a user with a recommendation intent query in response to the user indicating that he or she recommends content. The recommendation intent query allows a user to designate (e.g., select, indicate, identify, choose, etc.) one or more components, subjects, characteristics, properties, etc., of the content to which the user's recommendation should be attributed. Therefore, the user's intent with regard to the recommendation can be determined, and a more detailed social annotation about the recommendation can be provided to other users in a social network. The recommendation intent query is in the form of a user interface containing a list of components, subjects, and characteristics of the recommended content, one or more of which may be designated by the user as being the intended target(s) of his or her recommendation.

公开(公告)号：US09979731B1

公开(公告)日：2018-05-22

申请号：US15411087

申请日：2017-01-20

Applicant: Google LLC

Inventor： Neha Pattan ,  Venu Vemula ,  Mike Ying

IPC: H04L29/06 ,  H04W4/00 ,  H04W8/26

CPC classification number: H04L63/10 ,  H04L9/0866 ,  H04L47/748 ,  H04L63/0428 ,  H04L63/12 ,  H04L67/02 ,  H04L67/146 ,  H04L67/306 ,  H04L67/32 ,  H04L67/42 ,  H04L2209/42 ,  H04W4/60 ,  H04W8/26

Abstract: Apparatus and method for providing unique device identification values for a network accessible device. In accordance with some embodiments, a unique device identifier value is generated in response to a data exchange operation with a network accessible device. The identifier value is subsequently transmitted by the device as a unique device identifier value in conjunction with the transmitting of a request for a subsequent data exchange operation with the device.

公开(公告)号：US20180040021A1

公开(公告)日：2018-02-08

申请号：US15787501

申请日：2017-10-18

Applicant: Google LLC

Inventor： Neha Pattan ,  Jennifer W. Lin

IPC: G06Q30/02 ,  G06F21/54 ,  G06Q50/00 ,  G06F21/51

Abstract: Methods and systems are provided for allowing users to recommend advertisements displayed in a third-party application running on a user device while not granting the third-party application privileges to send such recommendations on behalf of the user. A social network application installed on the user device, and separate from the third-party application, acts as a proxy for advertisement recommendation requests (e.g., indications that a user wishes to recommend an advertisement displayed), and a user is required to confirm all such recommendation actions. In this manner, a third-party application (e.g., a “malicious third-party application) cannot send advertisement recommendation requests, and/or requests to undo such recommendations, on its own as if it were the user.