公开(公告)号：US20200028782A1

公开(公告)日：2020-01-23

申请号：US16155510

申请日：2018-10-09

Applicant: Facebook, Inc.

Inventor： Ying Li ,  Martinus Arnold de Jongh ,  Vincent Gonguet ,  James Donovan ,  Laurent Corigliano

IPC: H04L12/801 ,  H04L12/26

Abstract: In one embodiment, the system identifies geographic areas covered by a communication network. The system determines, for each identified geographic area, a network performance metric for the identified geographic area based on a difference between: (1) a first average network speed of the communication network in the identified geographic area during prior time periods in which the communication network is busy, and (2) a second average network speed of the communication network in the identified geographic area during second prior time periods in which the communication network is not busy. The system compares the respective performance metrics of the geographic areas to a threshold network performance metric, which is determined by a congestion-analysis machine learning (ML) model. The system identifies traffic congestions in one or more of the identified geographic areas having a determined network performance metric below the threshold network performance metric.

公开(公告)号：US10764184B2

公开(公告)日：2020-09-01

申请号：US16155510

申请日：2018-10-09

Applicant: Facebook, Inc.

Inventor： Ying Li ,  Martinus Arnold de Jongh ,  Vincent Gonguet ,  James Donovan ,  Laurent Corigliano

IPC: H04L12/801 ,  H04L12/26

Abstract: In one embodiment, the system identifies geographic areas covered by a communication network. The system determines, for each identified geographic area, a network performance metric for the identified geographic area based on a difference between: (1) a first average network speed of the communication network in the identified geographic area during prior time periods in which the communication network is busy, and (2) a second average network speed of the communication network in the identified geographic area during second prior time periods in which the communication network is not busy. The system compares the respective performance metrics of the geographic areas to a threshold network performance metric, which is determined by a congestion-analysis machine learning (ML) model. The system identifies traffic congestions in one or more of the identified geographic areas having a determined network performance metric below the threshold network performance metric.

公开(公告)号：US10909123B2

公开(公告)日：2021-02-02

申请号：US15360550

申请日：2016-11-23

Applicant: Facebook, Inc.

Inventor： Neal Suresh Vora ,  James Donovan ,  Deepak Chinavle ,  Gaurav Dosi ,  Jason Eric Brewer ,  Bradley Ray Green

IPC: G06F7/00 ,  G06F16/00 ,  G06F16/2457 ,  H04L12/58 ,  G06F16/248 ,  G06F16/28

Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.

公开(公告)号：US20200351201A1

公开(公告)日：2020-11-05

申请号：US16930712

申请日：2020-07-16

Applicant: Facebook, Inc.

Inventor： Ying Li ,  Martinus Arnold de Jongh ,  Vincent Gonguet ,  James Donovan ,  Laurent Corigliano

IPC: H04L12/801 ,  H04L12/26

Abstract: In one embodiment, the system identifies one or more geographic areas covered by a communication network. The system determines, for each identified geographic area, a congestion metric for the identified geographic area based at least on a difference between a first and second reference point on a network speed curve, wherein the network speed curve represents download speeds for a volume of traffic in the identified geographic area. The system identifies one or more network traffic congestions in one or more of the identified geographic areas based on a comparison of the respective congestion metrics of the identified geographic areas to a threshold congestion metric. The system sends, to one or more operators of the communication network, one or more alerts about the identified network traffic congestions.

公开(公告)号：US20190005424A1

公开(公告)日：2019-01-03

申请号：US15639329

申请日：2017-06-30

Applicant: Facebook, Inc.

Inventor： Vincent Gonguet ,  Cinna Julie Wu ,  India Swearingen ,  Austin Chang ,  Heather Monley ,  James Donovan ,  Shuchen Zheng

IPC: G06Q10/06 ,  G06Q50/00

Abstract: Systems, methods, and non-transitory computer-readable media can be configured to perform determining a request to create a highlight story that addresses one or more goals of an organization, wherein the highlight story is created based at least in part on one or more specified parameters. The highlight story can be generated based at least in part on the one or more parameters and from data describing customers of the organization. The highlight story can be published in a newsfeed associated with the organization, the newsfeed being accessible through a social networking system.

公开(公告)号：US20180143981A1

公开(公告)日：2018-05-24

申请号：US15360550

申请日：2016-11-23

Applicant: Facebook, Inc.

Inventor： Neal Suresh Vora ,  James Donovan ,  Deepak Chinavle ,  Gaurav Dosi ,  Jason Eric Brewer ,  Bradley Ray Green

IPC: G06F17/30 ,  H04L12/58

CPC classification number: G06F16/24578 ,  G06F16/248 ,  G06F16/285 ,  H04L51/32

Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.

公开(公告)号：US20180107742A1

公开(公告)日：2018-04-19

申请号：US15297024

申请日：2016-10-18

Applicant: Facebook, Inc.

Inventor： Komal Kapoor ,  Apaorn Tanglertsampan ,  Bradley Ray Green ,  Meiying Li ,  James Donovan ,  Hannah Marie Hemmaplardh

IPC: G06F17/30 ,  G06N99/00 ,  G06Q50/00

CPC classification number: G06F16/9535 ,  G06F16/24578 ,  G06F16/248 ,  G06N20/00 ,  G06Q50/01

Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to determine predictive search recommendation based on search prediction information. Search prediction information associated with a user is provided to the machine learning model. A predictive search recommendation is presented to the user based on the machine learning model and the search prediction information. A search is performed based on the predictive search recommendation for one or more search results associated with entity pages on a social networking system.

公开(公告)号：US20180107741A1

公开(公告)日：2018-04-19

申请号：US15297007

申请日：2016-10-18

Applicant: Facebook, Inc.

Inventor： Komal Kapoor ,  Apaorn Tanglertsampan ,  Bradley Ray Green ,  Meiying Li ,  James Donovan ,  Hannah Marie Hemmaplardh

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06F21/6218

Abstract: Systems, methods, and non-transitory computer-readable media can present a service directory landing page comprising a plurality of selectable service category options associated with a plurality of pre-defined service categories. A search results page is presented, including one or more search results based on search criteria. Each of the one or more search results is associated with an entity page of a social networking system. The service directory landing page and the search results page are accessible without logging into the social networking system. Each entity page on the social networking system is accessible only when logged into the social networking system.