On-Demand Video News Programming

• US 20160112737A1
• Filed: 09/15/2015
• Published: 04/21/2016
• Est. Priority Date: 09/05/2014
• Status: Active Grant

• Current Assignee: Thomson Reuters Enterprise Centre GmbH (The Woodbridge Co. Ltd.)
• Original Assignee: Thomson Reuters LLC (The Woodbridge Co. Ltd.)
• Inventors: Powar, Rahul, Johnston, Eric, Showman, Isaac
• Granted Patent: US 11,457,262 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• 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 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/47202 for requesting content on demand, e.g. video on demand
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 21/8133 specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program

Abstract

Systems and technologies for providing an on-demand personalized news program are disclosed. The system and technologies allow an end user to create a news program that best matches the end user'"'"'s tastes and preferences. To achieve this, one aspect of the disclosure relates to systematic personalization. Systematic personalization involves determining an end user'"'"'s interests based on an assessment of user behavior as it relates to accessible content. The personalization process may also provide content to users that have been editorially curated.

Claims

1. A method comprising:

receiving an electronic request to generate an on-demand personalized news program, the electronic request comprising a user identifier;

identifying profile information associated with the user identifier, the profile information comprising explicit constraints and implicit constraints applicable to generation of the on-demand personalized news program;

applying a program module to select content for the on-demand personalized news program, the program module using the explicit constraints, the implicit constraints, and metadata associated with an editorial curation of the content;

generating the on-demand personalized news program using the program module; and

transmitting the on-demand personalized news program in response to the electronic request, the on-demand personalized news program comprising news segments.

2. The method of claim 1 wherein at least one of the explicit constraints associated with the profile information comprises a duration of the news program.

3. The method of claim 1 wherein at least one of the explicit constraints associated with the profile information comprises a geographical location for the news program.

4. The method of claim 1 wherein at least one of the explicit constraints associated with the profile information comprises a program genre of the news program.

5. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information comprises a viewing history of the user associated with the user identifier.

6. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information is based on user interaction with the on-demand personalized news program.

7. The method of claim 6 further comprising storing the user interaction with the on-demand personalized news program in a database.

8. The method of claim 1 further comprising:

receiving a swipe indication movement associated with an item of the on-demand personalized program;

configuring an implicit constraint associated with the user which is based at least in part on the swipe indication movement and the item; and

storing the implicit constraint in the profile.

9. The method of claim 8 wherein the swipe indication movement indicates a negative feedback.

10. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information is based on negative feedback.

11. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information is based on story edit length viewed to completion.

12. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information is based on user behavior during viewing of the advertisements viewed.

13. The method of claim 1 wherein at least one of the implicit constraints associated with the profile information is based on the news segments viewed.

14. A server comprising:

a processor;

a memory; and

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor,

the server being configured to generate an on-demand personalized news program in response to receiving an electronic request, the electronic request comprising a user identifier;

the server further comprising;

a profile module configured to retrieve profile information associated with the user identifier;

the profile information comprising explicit constraints and implicit constraints applicable to generation of the on-demand personalized news program;

a program module configured to generate an on-demand personalized news program based on the explicit constraints, the implicit constraints, and metadata associated with an editorial curation of content; and

a streaming module configured to transmit the on-demand personalized news program comprising the content in response to the electronic request.

15. The server of claim 14 wherein the program module accesses a preset editorial template.

16. The server of claim 14 further comprising an advertisement module configured to select advertisements for insertion by the program module into the on-demand personalized news program.

17. The server of claim 14 further comprising an A/B module configured to determine a version of the on-demand personalized news program to transmit to the user.

18. A system comprising:

a server including a processor and memory storing instructions that, in response to receiving a request to generate an on-demand personalized news program, cause the processor to;

identify profile information associated with the user identifier, the profile information comprising explicit constraints and implicit constraints applicable to generation of the on-demand personalized news program;

apply a program module to select content for the on-demand personalized news program, the program module using the explicit constraints, the implicit constraints, and metadata associated with an editorial curation of the content;

generate the on-demand personalized news program using the program module; and

transmit the on-demand personalized news program in response to the electronic request.

19. A system comprising:

a multi-point touch screen;

an on-demand personalized media server having a processor;

memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the one or more programs including instructions for executing a media viewing application that provides personalized on-demand viewing functionality;

while the media viewing application is executing, displaying a Graphical User Interface (GUI) on the multi-point touch screen, the GUI having a first media viewing portion and a plurality of graphically depicted media controls including graphically depicted sliders, buttons, and/or dials;

while the media viewing application is executing, transmitting a request to the on-demand personalized media server to view news content, the request including an user identifier;

while the media viewing application is executing, receiving a content stream from the on-demand personalized media server based at least in part on implicit constraints associated with the user identifier, explicit constraints associated with the user identifier, and metadata associated with the content, the content stream comprising a plurality of associated news content items; and

while the media viewing application is executing, streaming a first news item of the plurality of associated news content items through first media viewing portion of the GUI for display on the multi-point touch screen of the computing device,

wherein in response to receiving the request to generate the on-demand personalized news program, cause the processor to;

identify the profile information associated with the user identifier, the profile information comprising explicit constraints and implicit constraints applicable to generation of the on-demand personalized news program;

select content for the on-demand personalized news program using the explicit constraints, the implicit constraints, and metadata associated with the content;

generate the on-demand personalized news program based on the content selection; and

transmit the on-demand personalized news program in response to the electronic request.

20. A method comprising:

executing, at a computing device having a multi-point touch screen and a processor, a media viewing application that provides personalized on-demand viewing functionality;

while the media viewing application is executing, displaying a Graphical User Interface (GUI) on the multi-point touch screen, the GUI having a first media viewing portion and a plurality of graphically depicted media controls including graphically depicted sliders, buttons, and/or dials;

while the media viewing application is executing, transmitting a request to an on-demand personalized media server to view news content, the request including an user identifier;

while the media viewing application is executing, receiving a content stream from the on-demand personalized media server based at least in part on implicit constraints associated with the user identifier, explicit constraints associated with the user identifier, and metadata associated with editorial curation of the content, the content stream comprising a plurality of associated news content items and advertisement content; and

while the media viewing application is executing, displaying a first item of the plurality of associated news content items and advertisement content through first media viewing portion of the GUI for display on the multi-point touch screen of the computing device.

21. The method of claim 20, further comprising identifying a plurality of distinct graphically depicted controls that are associated with the plurality of simultaneous touch inputs on the multi-point touch screen, wherein each respective touch input in the plurality of simultaneous touch inputs on the multi-point touch screen corresponds to a different graphically depicted media control in the plurality of distinct graphically depicted media controls.

22. The method of claim 21, further comprising displaying a second news item of the plurality of associated news content items through the first media viewing portion of the GUI for display on the multi-point touch screen of the computing device in response to a swipe movement on the multi-point touch screen associated with the first news item of the plurality of associated news content items.

23. An electronic device, comprising:

a multi-point touch screen;

a processor;

memory; and

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the one or more programs including instructions for executing a media viewing application that provides personalized on-demand viewing functionality;

while the media viewing application is executing, displaying a Graphical User Interface (GUI) on the multi-point touch screen, the GUI having a first media viewing portion and a plurality of graphically depicted media controls including graphically depicted sliders, buttons, and/or dials;

while the media viewing application is executing, transmitting a request to an on-demand personalized media server to view news content, the request including an user identifier;

while the first media viewing application is executing, receiving a content stream from the on-demand personalized media server based at least in part on implicit constraints associated with the user identifier, explicit constraints associated with the user identifier, and metadata associated with the content, the content stream comprising a plurality of associated news content items and advertisement content; and

while the media viewing application is executing, transmitting a first news item of the plurality of associated news content items through the first media viewing portion of the GUI for display on the multi-point touch screen of the computing device.

24. The device of claim 23, wherein the GUI further comprises a second portion to indicate an upcoming news segment of the plurality of associated news content items.

25. The device of claim 23, wherein at least one of the plurality of graphically depicted media controls comprises a sharing option to share the news item.