Systems and methods for providing narratives based on selected content

US2016179964A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016179964-A1
Application numberUS-201414575568-A
CountryUS
Kind codeA1
Filing dateDec 18, 2014
Priority dateDec 18, 2014
Publication dateJun 23, 2016
Grant date

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Abstract

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Systems, methods, and non-transitory computer-readable media can detect that a content item has been published. Information about the content item can be acquired. The information about the content item can be analyzed to determine a confidence metric for the content item. In some cases, the confidence metric can indicate a likelihood that the content item is associated with a narrative. It can be determined that the confidence metric for content item satisfies a specified threshold. The content item can be recommended to be included in the narrative.

First claim

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What is claimed is: 1 . A computer-implemented method comprising: detecting, by a computing system, that a content item has been published; acquiring, by the computing system, information about the content item; analyzing, by the computing system, the information about the content item to determine a confidence metric for the content item, the confidence metric indicating a likelihood that the content item is associated with a narrative; determining, by the computing system, that the confidence metric for content item satisfies a specified threshold; and recommending, by the computing system, the content item to be included in the narrative. 2 . The computer-implemented method of claim 1 , wherein the recommending of the content item to be included in the narrative further comprises: recommending a posting of the narrative, wherein the narrative corresponds to a new narrative, and wherein the narrative includes at least a portion of the content item. 3 . The computer-implemented method of claim 2 , further comprising: receiving one or more user instructions to modify the narrative including the at least the portion of the content item; and modifying the narrative based on the one or more user instructions. 4 . The computer-implemented method of claim 1 , wherein the narrative corresponds to an existing narrative, and wherein the existing narrative is created prior to detecting that the content item has been published. 5 . The computer-implemented method of claim 4 , wherein the narrative is created based on at least one user instruction to create the narrative. 6 . The computer-implemented method of claim 4 , further comprising: receiving, prior to detecting that the content item has been published, a selection of at least one other content item to be included in the narrative; and including the at least one other content item in the narrative. 7 . The computer-implemented method of claim 1 , wherein the narrative includes at least one of a subject, a topic, or a theme associated with a user of a social networking system, and wherein the likelihood that the content item is associated with the narrative depends, at least in part, on a level of relevancy of the content item with respect to the at least one of the subject, the topic, or the theme. 8 . The computer-implemented method of claim 7 , wherein the confidence metric for the content item and the likelihood that the content item is associated with the narrative increase when the level of relevancy of the content item with respect to the at least one of the subject, the topic, or the theme is higher, and wherein the confidence metric for the content item and the likelihood that the content item is associated with the narrative decrease when the level of relevancy of the content item with respect to the at least one of the subject, the topic, or the theme is lower. 9 . The computer-implemented method of claim 7 , wherein the at least one of the subject, the topic, or the theme is determined based on at least one of a pattern of posts published by the user or a user command. 10 . The computer-implemented method of claim 7 , wherein the content item is a node in a graph infrastructure associated with the user of the social networking system, and wherein the acquiring of the information about the content item further comprises: performing a search of the graph infrastructure to acquire the information about the content item. 11 . The computer-implemented method of claim 7 , wherein the acquiring of the information about the content item further comprises: performing batch processing with respect to a data warehouse of the social networking system to acquire the information about the content item from the data warehouse. 12 . The computer-implemented method of claim 7 , wherein the analyzing of the information about the content item to determine the confidence metric for the content item further comprises: analyzing the information to determine that the content item is associated with one or more defined classifiers, wherein the confidence metric is determined based on the one or more defined classifiers. 13 . The computer-implemented method of claim 12 , wherein the one or more defined classifiers include at least one of a travel classifier, an event classifier, or a tag classifier. 14 . The computer-implemented method of claim 1 , wherein the content item includes at least one of an image, a video, an audio, a check-in, a status update, a shared post, a published post, an article, or text. 15 . The computer-implemented method of claim 1 , wherein the narrative is associated with a first user of a social networking system, and wherein the content item is published by at least one of the first user or a second user of the social networking system. 16 . The computer-implemented method of claim 15 , further comprising: presenting the narrative including at least the content item at a profile associated with the first user of the social networking system. 17 . The computer-implemented method of claim 16 , wherein the presenting of the narrative including the content item further comprises: presenting at least one of a map indicating a set of locations associated with the narrative. 18 . The computer-implemented method of claim 16 , further comprising: presenting at least one other narrative associated with the first user; and presenting at least one of a interface section or an interactive timeline from which the narrative and the at least one other narrative are accessible. 19 . 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: detecting that a content item has been published; acquiring information about the content item; analyzing the information about the content item to determine a confidence metric for the content item, the confidence metric indicating a likelihood that the content item is associated with a narrative; determining that the confidence metric for content item satisfies a specified threshold; and recommending the content item to be included in the narrative. 20 . A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform: detecting that a content item has been published; acquiring information about the content item; analyzing the information about the content item to determine a confidence metric for the content item, the confidence metric indicating a likelihood that the content item is associated with a narrative; determining that the confidence metric for content item satisfies a specified threshold; and recommending the content item to be included in the narrative.

Assignees

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Classifications

  • Business processes related to social networking or social networking services · CPC title

  • G06F16/958Primary

    Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking · CPC title

  • Physics · mapped topic

  • Physics · mapped topic

  • using social graphs · CPC title

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What does patent US2016179964A1 cover?
Systems, methods, and non-transitory computer-readable media can detect that a content item has been published. Information about the content item can be acquired. The information about the content item can be analyzed to determine a confidence metric for the content item. In some cases, the confidence metric can indicate a likelihood that the content item is associated with a narrative. It can…
Who is the assignee on this patent?
Facebook Inc
What technology area does this patent fall under?
Primary CPC classification G06F16/958. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 23 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).