公开(公告)号：US10749816B2

公开(公告)日：2020-08-18

申请号：US15966278

申请日：2018-04-30

Applicant: Google LLC

Inventor： Matthew Kulick

IPC: H04L12/911 ,  H04L29/08 ,  G06Q30/00 ,  G06Q30/08

Abstract: The technology relates to allocating the resource costs of a sensor network. In particular, an auction model is used to control the demand-side of sensor network utilization. Users bid for fractional sensor network utilization over particular variables such as time, geography, and data type. During the bidding process, the available sensor network resources may be unknown. Therefore, users bid on the predicted fractional sensor network utilization, which can be estimated using historical sensor network trends and models. Throughout this process, device performance is preserved while providing for user experience, privacy, and security.

公开(公告)号：US10003549B2

公开(公告)日：2018-06-19

申请号：US15134675

申请日：2016-04-21

Applicant: Google LLC

Inventor： Matthew Kulick

IPC: G06F15/173 ,  H04L12/911 ,  H04L29/08 ,  G06Q30/00

CPC classification number: H04L47/82 ,  G06Q30/00 ,  G06Q30/08 ,  H04L67/12

Abstract: The technology relates to allocating the resource costs of a sensor network. In particular, an auction model is used to control the demand-side of sensor network utilization. Users bid for fractional sensor network utilization over particular variables such as time, geography, and data type. During the bidding process, the available sensor network resources may be unknown. Therefore, users bid on the predicted fractional sensor network utilization, which can be estimated using historical sensor network trends and models. Throughout this process, device performance is preserved while providing for user experience, privacy, and security.

公开(公告)号：US20240411427A1

公开(公告)日：2024-12-12

申请号：US18808993

申请日：2024-08-19

Applicant: GOOGLE LLC

Inventor： Matthew Kulick ,  Aparna Chennapragada ,  Albert Segars ,  Hartmut Neven ,  Arcot J. Preetham

IPC: G06F3/0482 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

公开(公告)号：US12067215B2

公开(公告)日：2024-08-20

申请号：US17693714

申请日：2022-03-14

Applicant: GOOGLE LLC

Inventor： Matthew Kulick ,  Aparna Chennapragada ,  Albert Segars ,  Hartmut Neven ,  Arcot J. Preetham

IPC: G06F3/0482 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/9537

CPC classification number: G06F3/0482 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

公开(公告)号：US20220197452A1

公开(公告)日：2022-06-23

申请号：US17693714

申请日：2022-03-14

Applicant: GOOGLE LLC

Inventor： Matthew Kulick ,  Aparna Chennapragada ,  Albert Segars ,  Hartmut Neven ,  Arcot J. Preetham

IPC: G06F3/0482 ,  G06F16/58 ,  G06F16/9535 ,  G06F16/9537

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

公开(公告)号：US10558814B2

公开(公告)日：2020-02-11

申请号：US15469477

申请日：2017-03-24

Applicant: Google LLC

Inventor： Giles Hogben ,  Matthew Kulick ,  Todd Kennedy ,  Dianne Hackborn

IPC: G06F21/60 ,  G06F16/901 ,  G06F16/903 ,  H04W4/60 ,  H04L29/08 ,  H04L9/32 ,  G06F9/06 ,  G06F8/61 ,  G06F8/60 ,  G06F9/445 ,  H04L29/06

Abstract: Methods for identifying and obtaining a suitable application for interacting with a selected content item by providing secure access to a limited portion of information on the selected content item are provided. In one aspect, a method includes receiving a selection from a user in an initial application running on a device to interact with a content item accessible by the initial application, and generating a hash value from the limited portion of information on the content item. The method further includes requesting a copy of the at least one suitable application when the comparison of the hash value for the content item with the hash value for the suitable application match, executing the suitable application on the device, and providing the limited portion of information on the content item to the suitable application for interaction by the user. Systems and machine-readable media are also provided.

公开(公告)号：US20180287961A1

公开(公告)日：2018-10-04

申请号：US15966278

申请日：2018-04-30

Applicant: Google LLC

Inventor： Matthew Kulick

IPC: H04L12/911 ,  G06Q30/00 ,  H04L29/08 ,  G06Q30/08

Abstract: The technology relates to allocating the resource costs of a sensor network. In particular, an auction model is used to control the demand-side of sensor network utilization. Users bid for fractional sensor network utilization over particular variables such as time, geography, and data type. During the bidding process, the available sensor network resources may be unknown. Therefore, users bid on the predicted fractional sensor network utilization, which can be estimated using historical sensor network trends and models. Throughout this process, device performance is preserved while providing for user experience, privacy, and security.