Systems and methods for automated local story generation and curation

• US 9,881,094 B2
• Filed: 05/05/2015
• Issued: 01/30/2018
• Est. Priority Date: 05/05/2015
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: Snap, Inc.
• Inventors: Pavlovskaia, Maria, Spiegel, Evan
• Primary Examiner(s): NGUYEN, CHAU T
• Application Number:
  US14/704,188
• Publication Number:
  US 20160328360A1
• Time in Patent Office: 1,001 Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 40/10 Text processing natural language analysis G06F40/20; semantic analysis G06F40/30; processing or translation of natural language G06F40/40
• CPC Class Codes: G06F 40/189 Automatic justification

Abstract

Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video.

Claims

1. A method comprising:

receiving, at a server system, a plurality of content communications comprising content from a plurality of client devices, each content communication comprising one or more pieces of content, a location associated with the each piece of the content, and a time associated with each piece of the content;

processing, by the server system, each content communication from the plurality of content communications to determine a set of content characteristics for each piece of the content in the plurality of content communications;

automatically generating at least a first story, wherein the first story comprises a first plurality of pieces of the content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of the content of the first plurality of pieces of content, the set of content characteristics based on the location associated with the content, the time associated with the content, and one or more content categories;

associating, by the server system, a visibility of the first story with a first visibility area associated with the location for each piece of the content of the first plurality of pieces of content;

communicating the first story to a second plurality of client devices within the first visibility area;

analyzing, by the server system, a second plurality of incoming content messages to determine system trends associated with the first story; and

adjusting, by the server system, the visibility of the first story to a second visibility area based on the system trends;

wherein the one or more content categories are determined using machine vision processes operating as part of the server system to analyze each received content communication and generate one or more content characteristic values for each piece of the content from a content dictionary;

wherein the one or more content categories are determined using the content characteristic values for each piece of the content and

wherein the corresponding location where each piece of content was generated is determined based on a global positioning system (GPS) measurement performed by a corresponding device of the plurality of client devices.

2. The method of claim 1 wherein the set of content characteristics further comprises:

a local content geolocation area;

a content time period; and

one or more content quality metrics.

3. The method of claim 2 further comprising, prior to generating the first story:

determining, by the server system, a baseline content receipt rate for a first set of content characteristics;

determining, by the server system, that a current content receipt rate associated with the first set of content characteristics has deviated from the baseline content receipt rate by more than a threshold amount; and

adjusting a story visibility area for the first story based on the determination that the current content receipt rate for the first set of content characteristics has deviated from the baseline content receipt rate by more than the threshold amount.

4. The method of claim 3 further comprising:

communicating the first story to a first client device based, at least in part, on a location of the first client device within the story visibility area;

receiving, at the server system from the first client device, a selection communication associated with a second piece of content of the first story;

communicating a second story comprising pieces of content sharing at least a portion of a set of content characteristics of the second piece of content; and

communicating the second story to the first client device.

5. The method of claim 4 wherein the second story is generated in response to receipt of the selection communication at the server system.

6. The method of claim 4 wherein the second story is generated and associated with the second piece of content based on content characteristics of the second piece of content prior to receipt of the selection communication.

7. The method of claim 1 wherein first visibility area is a local geographic area, the second visibility area is a regional geographic area comprising a plurality of local geographic areas, and the first visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area.

8. The method of claim 1 wherein the second visibility area is a local geographic area, the first visibility area is a regional geographic area comprising a plurality of local geographic areas, and the second visibility area is a first local geographic area of the plurality of local geographic areas within the regional geographic area.

9. The method of claim 1 further comprising:

receiving, from a first client device, a first client device location;

communicating at least two stories to the first client device, wherein the at least two stories comprise the first story, wherein each of the at least two stories is associated with a visibility area, and wherein the visibility area for each of the at least two stories encompasses the first client device location.

10. The method of claim 1 wherein the location associated with the each piece of the content comprises a corresponding location where each piece of content was generated.

11. The method of claim 1 the visibility of the first story is set such that only viewers within a corresponding visibility area have access to the first story, and viewers outside the visibility area do not have access to the first story.

12. The method of claim 1 where adjusting, by the server system, the visibility of the first story to a second visibility area comprises setting the first story to a global story such that all viewers outside the first visibility area have access to the first story.

13. A server system comprising:

a memory; and

one or more processors coupled to the memory and configured to;

receive a plurality of content communications comprising content from a plurality of client devices, each content communication comprising one or more pieces of content, a location associated with the content, and a time associated with the content;

process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of the content; and

automatically generate at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of the content of the first plurality of pieces of content, the set of content characteristics based on the location associated with the content, one or more content categories, and the time associated with the content;

determine a first visibility area for the first story based on a content origin area associated with the first plurality of pieces of content;

communicate the first story to a second plurality of client devices within the first visibility area;

analyze a second plurality of incoming content messages to determine system trends associated with the first story; and

adjust, by the server system, the visibility of the first story to a second visibility area based on the system trends to determine the second visibility for the first story based on the system trends associated with the first story;

wherein the one or more content categories are determined using machine vision processes operating as part of the server system to analyze each received content communication and generate one or more content characteristic values for each piece of the content from a content dictionary;

wherein the one or more content categories are determined using the content characteristic values for each piece of the content and

wherein the corresponding location where each piece of content was generated is determined based on a global positioning system (GPS) measurement performed by a corresponding device of the plurality of client devices.

14. The server system of claim 13 wherein the one or more processors are further configured to:

receive a location communication from a first client device identifying a location of the first client device;

determine that the location of the first client device is within the first visibility area; and

communicate a first story message associated with the first story to the first client device in response to the determination that the first client device is within the first visibility area.

15. The server system of claim 14 wherein the one or more processors are further configured to:

transmit an application to a first client device of the plurality of client devices prior to receiving the plurality of content communications; and

stream the first plurality of the pieces of content of the first story to the first client device in response to an input command received at a user interface of the application operating on the first client device.

16. The server system of claim 14 wherein the input command comprises a continuous touch input received at a touchscreen display of the first client device selecting the first story.

17. A non-transitory computer readable medium comprising computer readable instructions that, when executed by one or more processors cause a server system to:

receive a plurality of content communications comprising content from a plurality of client devices, each content communication comprising at least one piece of content, a location associated with the at least one piece of content, one or more content categories, and a time associated with the at least one piece of content;

process, each content communication from the plurality of content communications using, at least in part, machine vision to determine a set of content characteristics for each piece of the content; and

automatically generate at least a first story, wherein the first story comprises a first plurality of pieces of content from the plurality of content communications, and wherein the first plurality of pieces of content for the first story are selected based on the set of content characteristics for each piece of the content of the first plurality of pieces of content the set of content characteristics based on the location associated with the content, the time associated with the content, and one or more content categories;

associate a visibility of the first story with a first visibility area associated with the location for each piece of the content of the first plurality of pieces of content; and

communicate the first story to a plurality of client devices within the first visibility area;

analyze a plurality of incoming pieces of content to determine system trends associated with the first story; and

adjust the visibility of the first story to a second visibility area based on the system trends;

wherein the one or more content categories are determined using machine vision processes operating as part of the server system to analyze each received content communication and generate one or more content characteristic values for each piece of the content from a content dictionary;

wherein the one or more content categories are determined using the content characteristic values for each piece of the content and

wherein the corresponding location where each piece of content was generated is determined based on a global positioning system (GPS) measurement performed by a corresponding device of the plurality of client devices.

18. The non-transitory computer readable medium of claim 17 wherein the set of content characteristics for each piece of the content comprises:

a local content geolocation area; and

a content time period.