ENHANCED PROGRAM GUIDE

• US 20140373063A1
• Filed: 06/17/2013
• Published: 12/18/2014
• Est. Priority Date: 06/17/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Funk, Gregory Allan, Drochomirecki, Przemek, Glowaty, Grzegorz, Surazski, Jacek Jakub
• Granted Patent: US 9,313,551 B2
• Time in Patent Office: Days
• US Class Current: 725/45
• CPC Class Codes: H04N 21/23109 by placing content in organized collections, e.g. EPG data repository details of retrieval of video data and associated meta data in video databases G06F16/739
• CPC Class Codes: H04N 21/232 Content retrieval operation locally within server, e.g. reading video streams from disk arrays storage management G06F3/0604; details of querying and searching of video data from a database G06F16/739
• 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 21/432 Content retrieval operation from a local storage medium, e.g. hard-disk details of retrieval of video data and associated meta data in video databases G06F16/739
• CPC Class Codes: H04N 21/4332 by placing content in organized collections, e.g. local EPG data repository interfaces, Database management systems or updating for information retrieval G06F16/23; details of retrieval of video data and associated meta data in video database G06F16/739
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; 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 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

Systems and methods described herein relate to an enhanced program guide for programs that are broadcast according to a defined schedule. Program titles included in the guide can be ordered based on a relevance rank or score, potentially with no other parameter employed in determining a position of a program title within the guide. Presentation of the guide can be independent of a time axis or dimension and a channel axis or dimension. Titles can be displayed in a manner that is independent of a start time or running length of the associated program.

Claims

1. A system, comprising:

a memory that stores computer executable components; and

a microprocessor that executes the following computer executable components stored in the memory;

a data component that receives program schedule data for a set of channels, wherein the program schedule data includes a title of a program broadcast on a channel from the set of channels and a time associated with the broadcast of the program;

an analysis component that determines a relevance rank associated with the program; and

a guide component that selects the title for inclusion in a program guide based on the relevance rank, and determines a position within the program guide for the title based on the relevance rank, wherein the guide component facilitates presentation of the program guide in manner that is independent of a channel axis associated with the channel and a time axis associated with the time of the broadcast.

3. The system of claim 1, wherein the analysis component determines the relevance rank based on a time adjustment determined from a comparison of a current time to a start time or a remaining time for the program.

4. The system of claim 3, wherein the analysis component determines the time adjustment as a function of a genre or a category associated with the program, wherein the time adjustment influences the relevance rank more significantly for a first genre or category than for a second genre or category.

5. The system of claim 1, wherein the analysis component determines the relevance rank based on a language adjustment determined based on data associated with a user device.

6. The system of claim 1, wherein the analysis component determines the relevance rank based on a media content quality adjustment determined based on data associated with a user device.

7. The system of claim 1, wherein the analysis component determines the relevance rank based on a personalization adjustment determined based on data associated with a user device or a user, and a ranking model.

8. The system of claim 7, wherein the ranking model is trained for live television broadcasts.

9. The system of claim 1, wherein the analysis component determines the relevance rank based on a live broadcast popularity adjustment determined based on data associated with the program.

10. The system of claim 1, wherein the analysis component determines the relevance rank based on a daypart adjustment determined based on a calendar time associated with the broadcast of the program.

2. (canceled)

11. A method, comprising:

employing a computer-based processor to execute computer executable components stored within a memory to perform the following;

receiving program listing information for a set of channels that broadcast a set of programs according to a defined schedule;

determining a relevance score for a program from the set of programs; and

creating a program guide with a subset of the set of programs selected based on the relevance score, wherein the subset of programs are ordered in the program guide based on the relevance score and not indexed based on a channel identifier or a start time.

12. The method of claim 11, further comprising facilitating presentation of the program guide to a device comprising a display.

13. The method of claim 11, wherein the determining the relevance score includes determining the relevance score based on a time adjustment factor that is a function of an amount of time that has elapsed since a broadcast of the program started.

14. The method of claim 13, wherein the time adjustment factor influences the relevance score as a function of a genre or a category associated with the program.

15. The method of claim 11, wherein the determining the relevance score includes determining the relevance score based on a language associated with the program, or based on a presentation resolution associated with the program.

16. The method of claim 11, wherein the determining the relevance score includes determining the relevance score based on a personalization factor in connection with a consumer of the program, or based on a daypart factor relating to a calendar time associated with a broadcast of the program.

17. The method of claim 11, wherein the determining the relevance score includes determining the relevance score based on a real time broadcast popularity factor associated with the program.

18. A system, comprising:

means for receiving program listing information for a set of channels that broadcast a set of programs according to a defined schedule;

means for determining a relevance score for the program; and

means for creating a program guide with a subset of the set of programs selected based on the relevance score, wherein the subset of programs are ordered in the program guide based on the relevance score and independent of a time axis.

19. The system of claim 18, further comprising means for determining a real time broadcast popularity factor associated with the program in connection with the means for determining the relevance score.

20. The system of claim 18, further comprising means for determining a time adjustment factor associated with the program in connection with the means for determining the relevance score.

21. The system of claim 18, further comprising means for facilitating presentation of the program guide at a device including a display.