Granted Patent B2

US 12,382,149 · App. 18/516,118 · Granted Aug 5, 2025

Inventors: Warren Joseph Packard (Palo Alto, CA); Dennis Kanygin (Sunnyvale, CA); Jordan Toor (Palo Alto, CA); Dan Lythcott-Haims (Palo Alto, CA); Alan Levin (Vancouver, CA)

Assignee: STATS LLC

H04N21/8456G11B27/031H04N21/231H04N21/23109H04N21/23418H04N21/23424H04N21/23439H04N21/251H04N21/25841H04N21/25883H04N21/25891H04N21/278H04N21/4312H04N21/44218H04N21/4667H04N21/6582H04N21/8549G11B27/034G11B27/10H04N21/2668H04N21/84

Abstract

Claims (61)

1. A method for generating a customized highlight show, the method comprising:

receiving, by a computing system, a user selection of an event;

receiving, by the computing system, a plurality of occurrences corresponding to the event;

analyzing, by the computing system, occurrence data corresponding to the plurality of occurrences;

determining, by the computing system, a user transition preference based on user data;

generating, by the computing system, based on the user transition preference, a transition between a first occurrence of the plurality of occurrences and a second occurrence of the plurality of occurrences;

assembling, by the computing system, a highlight show comprising the first occurrence, the second occurrence, and the transition; and

displaying, by the computing system, the highlight show on a user interface.

2. The method of claim 1 , the method further comprising:

analyzing, by the computing system, a status of the event;

determining, by the computing system, that the event has an uncompleted status indicating that the event is in progress; and

generating, by the computing system, the highlight show for the event up to a point in time of the user selection.

3. The method of claim 1 , the method further comprising:

receiving, by the computing system, the user data from a data store, wherein the user data includes at least one of: a user demographic, user purchasing behavior, user web viewing behavior, a user interest, or a user preference.

4. The method of claim 1 , wherein the transition withholds a portion of information about at least one of the first occurrence or the second occurrence.

5. The method of claim 1 , the method further comprising:

determining, by the computing system, an occurrence priority corresponding to each of the plurality of occurrences.

6. The method of claim 5 , wherein assembling the highlight show comprises:

analyzing, by the computing system, the occurrence priority for each of the plurality of occurrences; and

based on the occurrence priority, selecting, by the computing system, a subset of the plurality of occurrences for inclusion in the highlight show.

7. The method of claim 6 , wherein analyzing the occurrence priority includes comparing the occurrence priority to an occurrence priority threshold.

8. A computer system for generating a customized highlight show, the computer system comprising:

a memory having processor-readable instructions stored therein; and

one or more processors configured to access the memory and execute the processor-readable instructions, which when executed by the one or more processors configures the one or more processors to perform a plurality of functions, including functions for:

receiving a user selection of an event;

receiving a plurality of occurrences corresponding to the event;

analyzing occurrence data corresponding to the plurality of occurrences;

determining a user transition preference based on user data;

generating based on the user transition preference, a transition between a first occurrence of the plurality of occurrences and a second occurrence of the plurality of occurrences;

assembling a highlight show comprising the first occurrence, the second occurrence, and the transition; and

displaying the highlight show on a user interface.

9. The computer system of claim 8 , the functions further comprising:

analyzing a status of the event;

determining that the event has an uncompleted status indicating that the event is in progress; and

generating the highlight show for the event up to a point in time of the user selection.

10. The computer system of claim 8 , the functions further comprising:

receiving the user data from a data store, wherein the user data includes at least one of: a user demographic, user purchasing behavior, user web viewing behavior, a user interest, or a user preference.

11. The computer system of claim 8 , wherein the transition withholds a portion of information about at least one of the first occurrence or the second occurrence.

12. The computer system of claim 8 , the functions further comprising:

determining an occurrence priority corresponding to each of the plurality of occurrences.

13. The computer system of claim 12 , wherein assembling the highlight show comprises:

analyzing the occurrence priority for each of the plurality of occurrences; and

based on the occurrence priority, selecting a subset of the plurality of occurrences for inclusion in the highlight show.

14. The computer system of claim 13 , wherein analyzing the occurrence priority includes comparing the occurrence priority to an occurrence priority threshold.

15. A non-transitory computer-readable medium containing instructions for generating a customized highlight show, the instructions comprising:

receiving, by a computing system, a user selection of an event;

receiving, by the computing system, a plurality of occurrences corresponding to the event;

analyzing, by the computing system, occurrence data corresponding to the plurality of occurrences;

determining, by the computing system, a user transition preference based on user data;

generating, by the computing system, based on the user transition preference, a transition between a first occurrence of the plurality of occurrences and a second occurrence of the plurality of occurrences;

assembling, by the computing system, a highlight show comprising the first occurrence, the second occurrence, and the transition; and

displaying, by the computing system, the highlight show on a user interface.

16. The non-transitory computer-readable medium of claim 15 , the instructions further comprising:

receiving, by the computing system, the user data from a data store, wherein the user data includes at least one of: a user demographic, user purchasing behavior, user web viewing behavior, a user interest, or a user preference.

17. The non-transitory computer-readable medium of claim 15 , wherein the transition withholds a portion of information about at least one of the first occurrence or the second occurrence.

18. The non-transitory computer-readable medium of claim 15 , the instructions further comprising:

determining, by the computing system, an occurrence priority corresponding to each of the plurality of occurrences.

19. The non-transitory computer-readable medium of claim 18 , wherein assembling the highlight show comprises:

analyzing, by the computing system, the occurrence priority for each of the plurality of occurrences; and

based on the occurrence priority, selecting, by the computing system, a subset of the plurality of occurrences for inclusion in the highlight show.

20. The non-transitory computer-readable medium of claim 19 , wherein analyzing the occurrence priority includes comparing the occurrence priority to an occurrence priority threshold.

Assignments (3)

Continuity (8)

References Cited (400)