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US20220291790A1 - Systems and methods for sharing content - Google Patents

Systems and methods for sharing content
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Publication number
US20220291790A1
US20220291790A1US17/827,121US202217827121AUS2022291790A1US 20220291790 A1US20220291790 A1US 20220291790A1US 202217827121 AUS202217827121 AUS 202217827121AUS 2022291790 A1US2022291790 A1US 2022291790A1
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United States
Prior art keywords
post
user
content
subject matter
social networking
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Abandoned
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US17/827,121
Inventor
Joshua Barton Dickens
William Samuel Bailey
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Meta Platforms Inc
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Meta Platforms Inc
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Priority to US17/827,121priorityCriticalpatent/US20220291790A1/en
Publication of US20220291790A1publicationCriticalpatent/US20220291790A1/en
Abandonedlegal-statusCriticalCurrent

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Abstract

Systems, methods, and non-transitory computer-readable media can provide an interface in which a content feed of a user is presented, the content feed including at least one first post that was authored by the user and that includes a first content item, wherein the interface is presented on a display screen of a computing device. A determination is made that the user has selected an option to update the first post to include one or more additional content items. A set of content items is provided for selection through the interface. The first post is updated to include at least one content item that was selected by the user.

Description

Claims (20)

What is claimed is:
1. A computer-implemented method comprising:
determining, by a computing system, a first post published in a feed;
determining, by the computing system, a second post to be merged with the first post into a single post based on similarity of subject matter associated with the first post and the second post; and
causing, by the computing system, the first post and the second post to be merged into the single post.
2. The method ofclaim 1, wherein the similarity of subject matter associated with the first post and the second post is determined based on at least one of geographical locations or timestamps associated with the first post and the second post.
3. The method ofclaim 1, wherein the subject matter associated with the first post and the second post is determined by a machine learning model trained to determine a probability a content item contains selected subject matter.
4. The method ofclaim 3, wherein the machine learning model is trained based on a training set of content items correlated with a content class, wherein the correlation of the training set of content items with the content class is determined based on contextual cues associated with the training set of content items, and wherein the machine learning model is trained to generate a visual pattern template associated with the content class.
5. The method ofclaim 3, wherein the machine learning model generates sets of content features that correspond to the subject matter associated with the first post and the second post and probabilities the content features are in the first post and the second post, and wherein the similarity of the subject matter associated with the first post and the second post is based on an overlap in the sets of content features.
6. The method ofclaim 1, further comprising:
providing, by the computing system, a request for a user confirmation to merge the first post and the second post into the single post; and
causing, by the computing system, the single post to be published in response to the user confirmation.
7. The method ofclaim 1, further comprising:
providing, by the computing system, a first option to revert the single post into the first post and the second post;
causing, by the computing system, the single post to be separated into the first post and the second post based on the first option;
providing, by the computing system, a second option to publish the first post or the second post in a new post; and
causing, by the computing system, the first post or the second post to be published as the new post based on the second option.
8. The method ofclaim 1, further comprising:
providing, by the computing system, an interface to update the single post with a content item selected by a user; and
causing, by the computing system, the content item to be merged into the single post with the first post and the second post.
9. The method ofclaim 1, further comprising:
providing, by the computing system, the single post in a message to a user.
10. The method ofclaim 1, further comprising:
providing, by the computing system, an indication in an interface that the single post is in the process of being published.
11. A system comprising:
at least one processor; and
a memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:
determining a first post published in a feed;
determining a second post to be merged with the first post into a single post based on similarity of subject matter associated with the first post and the second post; and
causing the first post and the second post to be merged into the single post.
12. The system ofclaim 11, wherein the similarity of subject matter associated with the first post and the second post is determined based on at least one of geographical locations or timestamps associated with the first post and the second post.
13. The system ofclaim 11, wherein the subject matter associated with the first post and the second post is determined by a machine learning model trained to determine a probability a content item contains selected subject matter.
14. The system ofclaim 13, wherein the machine learning model is trained based on a training set of content items correlated with a content class, wherein the correlation of the training set of content items with the content class is determined based on contextual cues associated with the training set of content items, and wherein the machine learning model is trained to generate a visual pattern template associated with the content class.
15. The system ofclaim 13, wherein the machine learning model generates sets of content features that correspond to the subject matter associated with the first post and the second post and probabilities the content features are in the first post and the second post, and wherein the similarity of the subject matter associated with the first post and the second post is based on an overlap in the sets of content features.
16. A non-transitory computer-readable storage medium including instructions that, when executed by at least on processor of a computing system, cause the computing system to perform operations comprising:
determining a first post published in a feed;
determining a second post to be merged with the first post into a single post based on similarity of subject matter associated with the first post and the second post; and
causing the first post and the second post to be merged into the single post.
17. The non-transitory computer-readable storage medium ofclaim 16, wherein the similarity of subject matter associated with the first post and the second post is determined based on at least one of geographical locations or timestamps associated with the first post and the second post.
18. The non-transitory computer-readable storage medium ofclaim 16, wherein the subject matter associated with the first post and the second post is determined by a machine learning model trained to determine a probability a content item contains selected subject matter.
19. The non-transitory computer-readable storage medium ofclaim 18, wherein the machine learning model is trained based on a training set of content items correlated with a content class, wherein the correlation of the training set of content items with the content class is determined based on contextual cues associated with the training set of content items, and wherein the machine learning model is trained to generate a visual pattern template associated with the content class.
20. The non-transitory computer-readable storage medium ofclaim 16, wherein the machine learning model generates sets of content features that correspond to the subject matter associated with the first post and the second post and probabilities the content features are in the first post and the second post, and wherein the similarity of the subject matter associated with the first post and the second post is based on an overlap in the sets of content features.
US17/827,1212016-11-172022-05-27Systems and methods for sharing contentAbandonedUS20220291790A1 (en)

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US17/827,121US20220291790A1 (en)2016-11-172022-05-27Systems and methods for sharing content

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US15/354,308US11347374B2 (en)2016-11-172016-11-17Systems and methods for managing shared content
US17/827,121US20220291790A1 (en)2016-11-172022-05-27Systems and methods for sharing content

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US15/354,308ContinuationUS11347374B2 (en)2016-11-172016-11-17Systems and methods for managing shared content

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US20220291790A1true US20220291790A1 (en)2022-09-15

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US17/827,121AbandonedUS20220291790A1 (en)2016-11-172022-05-27Systems and methods for sharing content

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Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
JP6794921B2 (en)*2017-05-012020-12-02トヨタ自動車株式会社 Interest determination device, interest determination method, and program
JP2019194771A (en)*2018-05-012019-11-07宏幸 山崎Information sharing system, information sharing server and information sharing program
US10942978B1 (en)*2018-08-272021-03-09Facebook, Inc.Systems and methods for creating interactive metadata elements in social media compositions
US11223591B2 (en)*2020-02-052022-01-11International Business Machines CorporationDynamically modifying shared location information
US11551448B2 (en)2020-10-012023-01-10Bank Of America CorporationSystem for preserving image and acoustic sensitivity using reinforcement learning
USD1016083S1 (en)*2021-07-132024-02-27Beijing Zitiao Network Technology Co., Ltd.Display screen or portion thereof with a graphical user interface
USD1024098S1 (en)*2021-07-162024-04-23Beijing Kuaimajiabian Technology Co., Ltd.Display screen or portion thereof with a graphical user interface

Citations (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20140258358A1 (en)*2013-03-112014-09-11Htc CorporationMethod of combining network data and mobile device using the same
US20150036919A1 (en)*2013-08-052015-02-05Facebook, Inc.Systems and methods for image classification by correlating contextual cues with images
US20150081449A1 (en)*2013-09-192015-03-19Facebook, Inc.Selecting Content Items For Presentation To A Social Networking System User In A Newsfeed
US20150169744A1 (en)*2013-12-122015-06-18Flipboard, Inc.Selecting Diverse, Relevant Content From Multiple Content Feeds
US20160062605A1 (en)*2014-08-292016-03-03Google Inc.Systems and methods for providing suggested reminders
US20160072755A1 (en)*2012-08-142016-03-10Google Inc.Systems and methods for managing a message thread on an electronic device
US20160096110A1 (en)*2014-10-012016-04-07Blueboard Media, LLCSystems and methods for playing electronic games and sharing digital media

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US7568151B2 (en)*2002-06-272009-07-28Microsoft CorporationNotification of activity around documents
EP2153341A4 (en)*2007-05-152012-04-25Social Project IncSystem and method for creating a social-networking online community
US20090271283A1 (en)*2008-02-132009-10-29Catholic Content, LlcNetwork Media Distribution
US20120324002A1 (en)*2011-02-032012-12-20Afolio Inc.Media Sharing
US20150127748A1 (en)*2012-04-132015-05-07Google Inc.Recommendations for enhanced content in social posts
US8886836B2 (en)*2012-06-122014-11-11Facebook, Inc.Providing a multi-column newsfeed of content on a social networking system
US9374374B2 (en)*2012-06-192016-06-21SecureMySocial, Inc.Systems and methods for securing social media for users and businesses and rewarding for enhancing security
US20150278367A1 (en)*2012-07-132015-10-01Google Inc.Determination and Presentation of Content from Connections
US9286937B2 (en)*2012-08-222016-03-15mitú Inc.Method and apparatus for dynamic media streaming
US10061760B2 (en)*2012-09-122018-08-28Flipboard, Inc.Adaptive layout of content in a digital magazine
US9606717B2 (en)*2012-11-142017-03-28Facebook, Inc.Content composer

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US20160072755A1 (en)*2012-08-142016-03-10Google Inc.Systems and methods for managing a message thread on an electronic device
US20140258358A1 (en)*2013-03-112014-09-11Htc CorporationMethod of combining network data and mobile device using the same
US20150036919A1 (en)*2013-08-052015-02-05Facebook, Inc.Systems and methods for image classification by correlating contextual cues with images
US20150081449A1 (en)*2013-09-192015-03-19Facebook, Inc.Selecting Content Items For Presentation To A Social Networking System User In A Newsfeed
US20150169744A1 (en)*2013-12-122015-06-18Flipboard, Inc.Selecting Diverse, Relevant Content From Multiple Content Feeds
US20160062605A1 (en)*2014-08-292016-03-03Google Inc.Systems and methods for providing suggested reminders
US20160096110A1 (en)*2014-10-012016-04-07Blueboard Media, LLCSystems and methods for playing electronic games and sharing digital media

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US11347374B2 (en)2022-05-31
US20180136797A1 (en)2018-05-17

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