Processes for generating content sharing recommendations based on user feedback data

• US 9,531,823 B1
• Filed: 09/09/2013
• Issued: 12/27/2016
• Est. Priority Date: 09/09/2013
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Suchland, Jonathan Edward, Choudhary, Mihir Kumar, Slimp, Joshua Jacob, Cavalcanti, Daniel Hafner, Denman, Scott Michael, Jafarzadeh, Ario
• Primary Examiner(s): Gillis, Brian J
• Assistant Examiner(s): TOKUTA, SHEAN S
• Application Number:
  US14/021,967
• Time in Patent Office: 1,205 Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual'"'"'s share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual'"'"'s current location, the content metadata, the individual'"'"'s share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.

Claims

1. A non-transitory computer-readable medium having stored thereon a mobile application comprising executable code that directs a mobile device to generate a share recommendation for a user of the mobile device by a process that comprises:

identifying, by application of facial recognition, an imaged person who is imaged in a first digital photograph stored on the mobile device;

identifying, among contacts of the user, a contact who has provided positive feedback on a second digital photograph in which the imaged person is imaged, the positive feedback provided by the contact in response to the user previously sharing the second digital photograph with the contact, the contact not being the imaged person, the positive feedback being accessible to the user;

generating a recommendation to share the first digital photograph with the contact based at least partly on the positive feedback, such that the positive feedback is treated as an implicit indication that the contact is interested in receiving other digital photographs of the imaged person; and

generating a user interface that includes a representation of the recommendation, the user interface including functionality for the user to send the first digital photograph to the contact and to enter a message to send with the first digital photograph.

2. The computer-readable medium of claim 1, wherein the user interface additionally displays an indication of a basis for the recommendation.

3. The computer-readable medium of claim 1, wherein the user interface provides an option for the user to select, from a plurality of communication channels, a communication channel to use to send the first digital photograph to the contact.

4. The computer-readable medium of claim 1, wherein generating the recommendation comprises determining a share potential of the first digital photograph with respect to the contact.

5. The computer-readable medium of claim 4, wherein the mobile application additionally directs the mobile device to, in determining the share potential, determine whether a geolocation associated with the first digital photograph corresponds to a geolocation associated with the contact.

6. The computer-readable medium of claim 4, wherein the mobile application additionally directs the mobile device to, in determining the share potential, determine whether the first and second digital photographs were taken at a common event.

7. A computer-implemented method of generating photograph sharing recommendations for a user, comprising:

by execution of program instructions by one or more computing devices;

identifying, by application of facial recognition, an imaged person who is imaged in a first digital photograph;

identifying, among contacts of the user, a contact who has provided positive feedback on a second digital photograph in which the imaged person is imaged, the positive feedback provided by the contact in response to the user previously sharing the second digital photograph with the contact, the contact not being the imaged person, the positive feedback being accessible to the user;

generating a recommendation to share the first digital photograph with the contact based at least partly on the positive feedback, such that the positive feedback is treated as an implicit indication that the contact is interested in receiving other digital photographs of the imaged person; and

generating a user interface that includes a representation of the recommendation, the user interface including functionality for the user to share the first digital photograph with the contact and to enter a message to provide to the contact with the first digital photograph.

8. The computer-implemented method of claim 7, wherein the user interface additionally displays an indication of a basis for the recommendation.

9. The computer-implemented method of claim 7, wherein the user interface provides an option for the user to select, from a plurality of communication channels, a communication channel to use to share the first digital photograph with the contact.

10. The computer-implemented method of claim 7, wherein generating the recommendation comprises determining a share potential of the first digital photograph with respect to the contact.

11. The computer-implemented method of claim 10, wherein determining the share potential comprises determining whether a geolocation associated with the first digital photograph corresponds to a geolocation associated with the contact.

12. The computer-implemented method of claim 10, wherein determining the share potential comprises determining whether the first and second digital photographs were taken at a common event.