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：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：US20190042976A1

公开(公告)日：2019-02-07

申请号：US15666461

申请日：2017-08-01

Applicant: Facebook, Inc.

Inventor： Apaorn Tanglertsampan ,  Hannah Marie Hemmaplardh ,  Deepak Chinavle ,  Nigel Carter ,  Brendon Elias Manwaring ,  Bradley Ray Green

IPC: G06N99/00 ,  G06Q50/00 ,  G06N5/02

Abstract: Systems, methods, and non-transitory computer readable media can determine one or more actions that a user is likely to take on a page associated with a social networking system, based on one or more first machine learning models. One or more card types that correspond to the one or more actions can be ranked based on a second machine learning model. One or more cards can be generated based on the ranked card types, and each card can include a recommended action associated with the page.