Discovery and analytics for episodic downloaded media

• US 8,769,558 B2
• Filed: 02/12/2009
• Issued: 07/01/2014
• Est. Priority Date: 02/12/2008
• Status: Active Grant

• Current Assignee: Sony Interactive Entertainment LLC (Sony Group Corp.)
• Original Assignee: Sony Computer 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:
  US12/370,531
• Publication Number:
  US 20090204481A1
• Time in Patent Office: 1,965 Days
• Field of Search: 725/14
• US Class Current: 725/14
• 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 an episodic media file at a client device communicatively coupled to a server hosting the episodic media file, wherein a set of advertisements is inserted in the episodic media file, each advertisement in the set inserted at a different insertion location in the episodic media file, and wherein the client device subsequently goes off-line;

executing instructions stored in memory of the client device to;

allow for the consumption of at least part of the episodic media file at the client device when the client device is off-line, wherein a duration of the consumed part of the episodic media file is indicated by a playback log;

determine which advertisements in the set were consumed off-line based on the duration of the consumed part of the episodic media file indicated by the playback log and the different insertion locations within the episodic media file;

cache the information to be sent when the client device returns to an on-line state; and

determine that the client device has returned to an on-line state;

transmitting a recommendation that a third-party acquire the episodic media via a social media application executing at or accessible to the client device; and

reporting statistics related to the off-line consumption of the received episodic media, advertisements determined to have been consumed off-line, and the recommendation as to third-party acquisition of the episodic media to the publisher of the episodic media.

2. The method of claim 1, further comprising receiving a recommendation as to an additional episodic media file from the host of the episodic media file, wherein the recommendation is based upon the reported statistics as to consumption and recommendation of the episodic media file to the third-party.

3. The method of claim 1, further comprising receiving a recommendation as to an additional episodic media file from the publisher of the episodic media file, wherein the recommendation is based upon the reported statistics as to consumption and recommendation of the episodic media file to the third-party.

4. The method of claim 2, wherein the statistical based recommendation as to the additional episodic media file follows analysis of the reported statistics by a party other than the host of the episodic media file.

5. The method of claim 3, wherein the statistical based recommendation as to the additional episodic media file follows analysis of the reported statistics by a party other than the provider of the episodic media file.

6. The method of claim 2, wherein the statistical based recommendation further complies with rule for receipt of the episodic media file and associated with a user of the client device.

7. The method of claim 3, wherein the statistical based recommendation further complies with a rule for receipt of the episodic media file and associated with a user of the client device.

8. The method of claim 1, wherein the social media application is a bookmarking application.

9. The method of claim 1, wherein the social media application includes a content player.

10. The method of claim 1, wherein the social media application includes a plug in executing at the client device.

15. The method of claim 1, wherein the third-party requests the episodic media file following transmission of the recommendation and wherein a different set of advertisements is inserted in the episodic media file delivered to the third-party.

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

a server hosting a plurality of episodic media files;

a first client device that receives an episodic media file from the server over a communications network, wherein a set of advertisements is inserted in the episodic media file, each advertisement in the set inserted at a different insertion location in the episodic media file, and wherein the first client device subsequently goes off-line, the first client device being further capable of;

playback of at least part of the episodic media file when the client device is off-line, wherein a duration of the played part of the episodic media file is indicated by a playback log,

determination of which advertisements in the set were consumed off-line based on the duration of the played part of the episodic media file indicated by the playback log and the different insertion locations within the episodic media file;

caching the information to be sent when the client device returns to an on-line state; and

determining that the client device has returned to an on-line state;

a second client device that receives a recommendation as to the episodic media file from the first client device, the first and second client device communicatively coupled with a communications network; and

a computing device that receives statistics from at least the first client concerning the episodic media, the statistics including information concerning the off-line playback of part of the episodic media file, the advertisements determined to have been consumed off-line, and the recommendation of the episodic media to the second client device.

12. The system of claim 11, wherein the second client device receives the recommendation from the first client device by way of a social media application, the social media application hosted at an intermediate computing device accessible by both the first and second client device.

13. The system of claim 11, wherein the second client device receives the recommendation from the first client device by way of a social media application that is executing at both the first and second client device.

16. The system of claim 11, wherein the second client device requests the episodic media file following receipt of the recommendation and wherein a different set of advertisements is inserted in the episodic media file delivered to the second client device.

14. 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 an episodic media file at a client device communicatively coupled to a server hosting the episodic media file, wherein a set of advertisements is inserted in the episodic media file, each advertisement in the set inserted at a different insertion location in the episodic media file, and wherein the first client device subsequently goes off-line;

executing instructions stored in memory of the client device to;

allow for the consumption of at least part of the consuming episodic media at the client device when the client device is off-line, wherein a duration of the consumed part of the episodic media file is indicated by a playback log;

determine which advertisements in the set were consumed off-line based on the duration of the consumed part of the episodic media file indicated by the playback log and the different insertion locations within the episodic media file;

cache the information to be sent when the client device returns to an on-line state; and

determine that the client device has returned to an on-line state;

transmitting a recommendation that a third-party acquire the episodic media via a social media application executing at or accessible to the client device; and

reporting statistics related to the off-line consumption of the received episodic media, advertisements determined to have been consumed off-line, and the recommendation as to third-party acquisition of the episodic media to the publisher of the episodic media.