Discovery and analytics for episodic downloaded media

• US 9,525,902 B2
• Filed: 06/26/2014
• Issued: 12/20/2016
• Est. Priority Date: 02/12/2008
• Status: Active Grant

• Current Assignee: Sony Interactive Entertainment LLC (Sony Group Corp.)
• Original Assignee: Sony Interactive Entertainment America LLC (Sony Group Corp.)
• Inventors: Navar, Murgesh, Yruski, Andrey, Shafton, Peter, McMullen, George
• Primary Examiner(s): Flynn, Nathan
• Assistant Examiner(s): Castro, Alfonso
• Application Number:
  US14/315,694
• Publication Number:
  US 20140337882A1
• Time in Patent Office: 908 Days
• Field of Search: 725/34
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: H04N 21/25808 Management of client data terminal profiles in network data switching protocols H04L67/303
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Matching advertising information to media content/user combinations in which information and content are delivered to a user over a network is disclosed. Content providers and advertisers may find out about the offerings of one another as well as user profiles and preferences thereby facilitating agreement of ads with content and users. Viral syndication is also facilitated by allowing the user to share downloaded media with friends and associates. Users may bookmark, share, and/or request/find more content with similarities to the downloaded content with various analytics being reported with respect to the same.

Claims

1. A method for analyzing episodic media consumption, the method comprising:

receiving information over a communication network regarding a plurality of users subscribed to receive media content, wherein the information regarding each subscribing user is used to match the subscribing user with at least one advertisement file;

automatically sending a media file over the communication network to a client device of one of the subscribing users, wherein the media file is split into two parts at an insertion point, the matching advertisement is stitched between the two parts to create a single new media file that comprises both the media file and the at least one matching advertisement file, and the single new media file is re-encoded to have a uniform matching profile and to be compatible with the client device, and wherein the client device subsequently goes off-line;

receiving information over the communication network regarding the subscribing user of the client device when the client device is back online, wherein the received information indicates that the user has consumed at least part of the new media file at the client device when the client device is off-line and indicates a duration of consumption for the new media file,

executing instructions stored in memory, wherein execution of the instructions by a processor;

identifies that the received information is associated with the subscribing user of the client device,

determines that the advertisement was consumed off-line by the subscribing user based on the received information indicating that consumption of the new media file included in the insertion location, and

generates a report regarding statistics related to the off-line consumption of the advertisement.

2. The method of claim 1, further comprising transmitting to the client device a recommendation that the user subscribe to additional media content, wherein the recommendation is based upon media consumption information provided in the received information.

3. The method of claim 2, wherein the recommendation is provided by a media content publisher of the media file.

4. The method of claim 2, wherein the recommendation is provided by a content owner of the media file.

5. The method of claim 2, wherein the recommendation is further based upon preference information provided by the user.

6. The method of claim 1, further comprising providing a third-party access to the media content via an application at the client device.

7. The method of claim 1, further comprising transmitting to the client device a recommendation that the user subscribe to additional media content, wherein the recommendation is based upon user demographic information provided by the user.

8. A system for analyzing episodic media consumption, the system comprising:

a match server that receives information over a communication network regarding a plurality of users subscribed to receive media content, wherein the information regarding each subscribing user is used to match the subscribing user with at least one advertisement file,

a hosting server that automatically sends a media file over the communication network to a client device of one of the subscribing users, wherein the media file is split into two parts at an insertion point, the matching advertisement is stitched between the two parts to create a single new media file that comprises both the media file and the at least one matching advertisement file, and the single new media file is re-encoded to have the same uniform matching profile and to be compatible with the client device, and wherein the client device subsequently goes off-line,

a database that receives information over the communication network regarding the subscribing user of the client device when the client device is back online, wherein the received information indicates that the user has consumed at least part of the new media file at the client device when the client device is off-line and indicates a duration of consumption for the new media file, and

a processor for executing instructions stored in a computer-readable storage medium, wherein execution of the instructions by the processor;

identifies that the received information is associated with the subscribing user of the client device,

determines that the advertisement was consumed off-line by the subscribing user based on the received information indicating that consumption of the new media file included in the insertion location, and

generates a report regarding statistics related to the off-line consumption of the advertisement.

9. The system of claim 8, wherein the hosting server transmits to the client device a recommendation that the user subscribe to additional media content, wherein the recommendation is based upon media consumption information provided in the received information.

10. The system of claim 9, wherein the recommendation is provided by a media content publisher of the media file.

11. The system of claim 9, wherein the recommendation is provided by a content owner of the media file.

12. The system of claim 9, wherein the recommendation is further based upon preference information provided by the user.

13. The system of claim 8, wherein the hosting server provides a third-party access to the media content via an application at the client device.

14. The system of claim 8, wherein the hosting server transmits to the client device a recommendation that the user subscribe to additional media content, wherein the recommendation is based upon user demographic information provided by the user.

15. A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method for analyzing episodic media consumption, the method comprising:

receiving information over a communication network regarding a plurality of users subscribed to receive media content, wherein the information regarding each subscribing user is used to match the subscribing user with at least one advertisement file;

automatically sending a media file over the communication network to a client device of one of the subscribing users, wherein the media file is split into two parts at an insertion point, the matching advertisement is stitched between the two parts to create a single new media file that comprises both the media file and the at least one matching advertisement file, and the single new media file is re-encoded to have a uniform matching profile and to be compatible with the client device, and wherein the client device subsequently goes off-line;

receiving information over the communication network regarding the subscribing user of the client device when the client device is back online, wherein the received information indicates that the user has consumed at least part of the new media file at the client device when the client device is off-line and indicates a duration of consumption for the new media file,

executing instructions stored in memory, wherein execution of the instructions by a processor;

identifies that the received information is associated with the subscribing user of the client device,

determines that the advertisement was consumed off-line by the subscribing user based on the received information indicating that consumption of the new media file included in the insertion location, and

generates a report regarding statistics related to the off-line consumption of the advertisement.

16. The non-transitory computer readable storage medium of claim 15, the method further comprising transmitting to the client device a recommendation that the user subscribe to additional media content, wherein the recommendation is based upon media consumption information provided in the received information.

17. The non-transitory computer readable storage medium of claim 16, wherein the recommendation is provided by a media content publisher of the media file.

18. The non-transitory computer readable storage medium of claim 16, wherein the recommendation is provided by a content owner of the media file.

19. The non-transitory computer readable storage medium of claim 16, wherein the recommendation is further based upon preference information provided by the user.

20. The non-transitory computer readable storage medium of claim 15, further comprising providing a third-party access to the media content via an application at the client device.