公开(公告)号：US20180247222A1

公开(公告)日：2018-08-30

申请号：US15444912

申请日：2017-02-28

Applicant: Oath Inc.

Inventor： Gabriele Tolomei ,  Andy Haines ,  Mounia Lalmas ,  Fabrizio Silvestri

IPC: G06N99/00 ,  H04L29/08 ,  G06Q30/02 ,  G06N5/04

CPC classification number: G06N20/00 ,  G06N5/003 ,  G06N20/20 ,  G06Q30/0242 ,  H04L67/02 ,  H04L67/22

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for changing a classification of a landing page, such as via, for example, identifying features of the landing page, such as to predict a binary classification of the landing page as to post-click user experience. One or more adjustments to features of the landing page may be determined, such as using a machine learning approach, by way of non-limiting example.

公开(公告)号：US20180225594A1

公开(公告)日：2018-08-09

申请号：US15947653

申请日：2018-04-06

Applicant: Oath Inc.

Inventor： Fabrizio Silvestri ,  Ricardo Alberto Baeza-Yates ,  Beverly Harrison ,  Di Jiang

IPC: G06N99/00 ,  H04W4/029 ,  H04L29/08 ,  H04W4/20

Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

公开(公告)号：US11157836B2

公开(公告)日：2021-10-26

申请号：US15444912

申请日：2017-02-28

Applicant: Oath Inc.

Inventor： Gabriele Tolomei ,  Andy Haines ,  Mounia Lalmas ,  Fabrizio Silvestri

IPC: G06N20/20 ,  H04L29/08 ,  G06Q30/02 ,  G06N20/00 ,  G06N5/00

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for changing a classification of a landing page, such as via, for example, identifying features of the landing page, such as to predict a binary classification of the landing page as to post-click user experience. One or more adjustments to features of the landing page may be determined, such as using a machine learning approach, by way of non-limiting example.

公开(公告)号：US10565527B2

公开(公告)日：2020-02-18

申请号：US15947653

申请日：2018-04-06

Applicant: Oath Inc.

Inventor： Fabrizio Silvestri ,  Ricardo Alberto Baeza-Yates ,  Beverly Harrison ,  Di Jiang

IPC: H04M3/00 ,  G06N20/00 ,  H04L29/08 ,  H04W4/029

Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

公开(公告)号：US11875273B2

公开(公告)日：2024-01-16

申请号：US15473313

申请日：2017-03-29

Applicant: Oath Inc.

Inventor： Marc Bron ,  Mounia Lalmas ,  Huw Evans ,  Mahlon Chute ,  Miriam Redi ,  Fabrizio Silvestri

IPC: G06N5/04 ,  H04W4/50 ,  G06N20/00 ,  G06N20/20 ,  H04W4/23

CPC classification number: G06N5/04 ,  G06N20/00 ,  G06N20/20 ,  H04W4/23 ,  H04W4/50

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for machine learning (ML) classification of digital content for mobile communication devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

公开(公告)号：US20180285747A1

公开(公告)日：2018-10-04

申请号：US15473313

申请日：2017-03-29

Applicant: Oath Inc.

Inventor： Marc Bron ,  Mounia Lalmas ,  Huw Evans ,  Mahlon Chute ,  Miriam Redi ,  Fabrizio Silvestri

IPC: G06N5/04 ,  H04W4/00 ,  G06N99/00

Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for machine learning (ML) classification of digital content for mobile communication devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.