Computerized System And Method For Determining And Communicating Media Content To A User Based On A Physical Location Of The User

• US 20170171294A1
• Filed: 12/15/2015
• Published: 06/15/2017
• Est. Priority Date: 12/15/2015
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Shamma, David Ayman, Kumar, Vikas, Kennedy, Lyndon
• Granted Patent: US 10,142,396 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically determine media content to communicate to a user based on the user'"'"'s location. The disclosed systems and methods enable novel media content distribution to a user based on 1) the location of the user (i.e., physical location or geo-location), 2) other users'"'"' classified relationships to the location; and 3) user generated media content by the classified other users.

Claims

1. A method comprising:

receiving, at a computing device over a network, a request for a media file to communicate to a device of a user;

determining, via the computing device, a geographic location associated with the user;

identifying, via the computing device, a first media file from a collection of media files associated with a media platform, said identifying comprising determining that said first media file is associated with said geographic location;

identifying, via the computing device, a first user that uploaded the first media file to the media file platform;

determining, via the computing device, a classification of the first user, said classification comprising determining the first user'"'"'s activity on the media platform respective to the geographic location;

compiling, via the computing device, a set of media files uploaded by the first user to the media platform based on said classification;

determining, via the computing device, visual content information and social metric information for each media file in the set, said determination further comprising scoring each media file in the set based on the visual content information and social metric information;

ranking, via the computing device, each media file in the set based on the determined score, wherein the media files in the set with higher scores are ranked higher than those with lower scores; and

automatically communicating, via the computing device, at least one of the ranked media files to the user device.

2. The method of claim 1, wherein said determination of the first user'"'"'s activity comprises:

determining a number of media files the first user has uploaded to said media platform over a predetermined period of time, each of said number of media files associated with the geographic location; and

comparing said determined number to an activity threshold.

3. The method of claim 2, wherein said determination of the first user'"'"'s activity comprises:

determining a difference between a first timestamp of an initially uploaded media file by the first user and a most recently uploaded media file, the initially and most recently uploaded media files are part of the determined number of media files; and

comparing the difference to a time threshold.

4. The method of claim 3, further comprising:

classifying the first user as a local when the activity threshold and the time threshold are both satisfied; and

classifying the first user as a tourist respective to the geographic location when only one of the activity threshold and time threshold are satisfied.

5. The method of claim 4, wherein said communication occurs only when said first user is classified as said local.

6. The method of claim 1, wherein said determination of said visual content information for each media file is based on determined feature representations of each media file from a deep convolutional neural network.

7. The method of claim 1, wherein said social metrics for each media file comprise information indicating overall activity for the media file on the media platform, said information comprising data selected from a group consisting of:

a number of user views, a number of user shares, a number of user likes, a number of user favorites and a number of user reblogs.

8. The method of claim 1, wherein said request for the media file comprises said geographic location of the user, wherein said geographic location determination comprises parsing the request to identify said geographic location.

9. The method of claim 1, wherein said geographic location associated with the user comprises geographic location information associated with the user device, wherein said geographic location information is selected from a group consisting of:

global positioning (GPS) data of the user device, Internet Protocol (IP) address of the user device, and longitude and latitude coordinates of the user device.

10. The method of claim 1, further comprising:

determining that said user is a new user to the media platform, wherein said request for the media file is based on said new user determination, and wherein said communication comprises posting the at least one ranked media file to a page on the media platform associated with the user.

11. The method of claim 1, wherein said identifying the first user is further based on the first media file having information associated therewith indicating when the first user performed an action selected from a group consisting of:

creating or capturing the media file, commenting on the media file, sharing the media file on the media platform, favoriting the media file, and editing the media file.

12. The method of claim 1, wherein said media file is an image file.

13. The method of claim 1, further comprising:

determining a context of the highest ranked media file;

causing communication, over the network, of said context to an advertisement platform to obtain a digital content file comprising advertisement content associated with said context; and

communicating said identified digital advertisement content file in association with said communication of said ranked media files.

14. A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a processor associated with a computing device, performs a method comprising:

receiving, over a network, a request for a media file to communicate to a device of a user;

determining a geographic location associated with the user;

identifying a first media file from a collection of media files associated with a media platform, said identifying comprising determining that said first media file is associated with said geographic location;

identifying a first user that uploaded the first media file to the media file platform;

determining a classification of the first user, said classification comprising determining the first user'"'"'s activity on the media platform respective to the geographic location;

compiling a set of media files uploaded by the first user to the media platform based on said classification;

determining visual content information and social metric information for each media file in the set, said determination further comprising scoring each media file in the set based on the visual content information and social metric information;

ranking each media file in the set based on the determined score, wherein the media files in the set with higher scores are ranked higher than those with lower scores; and

automatically communicating at least one of the ranked media files to the user device.

15. The non-transitory computer-readable storage medium of claim 14, wherein said determination of the first user'"'"'s activity comprises:

determining a number of media files the first user has uploaded to said media platform over a predetermined period of time, each of said number of media files associated with the geographic location;

comparing said determined number to an activity threshold;

determining a difference between a first timestamp of an initially uploaded media file by the first user and a most recently uploaded media file, the initially and most recently uploaded media files are part of the determined number of media files; and

comparing the difference to a time threshold.

16. The non-transitory computer-readable storage medium of claim 15, further comprising:

classifying the first user as a local when the activity threshold and the time threshold are both satisfied; and

classifying the first user as a tourist respective to the geographic location when only one of the activity threshold and time threshold are satisfied,

wherein said communication occurs only when said first user is classified as said local.

17. The non-transitory computer-readable storage medium of claim 14, wherein said determination of said visual content information for each media file is based on determined feature representations of each media file from a deep convolutional neural network.

18. The non-transitory computer-readable storage medium of claim 14, wherein said social metrics for each media file comprise information indicating overall activity for the media file on the media platform, said information comprising data selected from a group consisting of:

a number of user views, a number of user shares, a number of user likes, a number of user favorites and a number of user reblogs.

19. The non-transitory computer-readable storage medium of claim 14, further comprising:

determining that said user is a new user to the media platform, wherein said request for the media file is based on said new user determination, and wherein said communication comprises posting the at least one ranked media file to a page on the media platform associated with the user.

20. A system comprising:

a processor;

a non-transitory computer-readable storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising;

receiving logic executed by the processor for receiving, over a network, a request for a media file to communicate to a device of a user;

determination logic executed by the processor for determining a geographic location associated with the user;

identification logic executed by the processor for identifying a first media file from a collection of media files associated with a media platform, said identifying comprising determining that said first media file is associated with said geographic location;

identification logic executed by the processor for identifying a first user that uploaded the first media file to the media file platform;

determination logic executed by the processor for determining a classification of the first user, said classification comprising determining the first user'"'"'s activity on the media platform respective to the geographic location;

compiling logic executed by the processor for compiling a set of media files uploaded by the first user to the media platform based on said classification;

determination logic executed by the processor for determining visual content information and social metric information for each media file in the set, said determination further comprising scoring each media file in the set based on the visual content information and social metric information;

ranking logic executed by the processor for ranking each media file in the set based on the determined score, wherein the media files in the set with higher scores are ranked higher than those with lower scores; and

communication logic executed by the processor for automatically communicating at least one of the ranked media files to the user device.