Selective content delivery in a real-time streaming environment

• US 9,602,563 B2
• Filed: 04/17/2013
• Issued: 03/21/2017
• Est. Priority Date: 04/17/2013
• Status: Active Grant

• Current Assignee: AirBNB Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Barkai, Gilad, Carmel, David, Guy, Ido, Kutiel, Gilad, Steier, Tal
• Primary Examiner(s): Duong, Oanh
• Application Number:
  US13/864,274
• Publication Number:
  US 20140317237A1
• Time in Patent Office: 1,434 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 65/612 for unicast
• 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 21/4532 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 21/4668 for recommending content, e.g. movies

Abstract

Machines, systems and methods for dynamic content filtering are provided. The method comprises receiving an indication for a preference for an approximate number of content to be delivered during an indicated time period; assigning a first score to the first content according to one or more factors, in response to receiving a first content at a first point in time during the first time period; delivering the first content, in response to determining that the first score is above a first dynamically calculated threshold, wherein the first dynamically calculated threshold is calculated based on:

• • t: time of arrival of the first content,
  • k(t): number of contents that has been delivered until the first point in time,
  • K: the approximate number of events to be delivered during the indicated time period, and
  • F: a distribution function calculated based on prior history of the content delivered.

Claims

1. A computer-implemented method for dynamic content filtering, the computer-implemented method comprising:

receiving, by a software executed by a computer, an indication for a preference for an approximate number of contents to be delivered during an indicated time period;

assigning, by the executed software, a first score to a first content according to one or more factors, in response to receiving the first content at a first point in time during the indicated time period;

delivering, by the executed software, the first content, in response to determining the first score is above a first dynamically calculated threshold,

wherein the first dynamically calculated threshold is calculated based on;

t;

time of arrival of the first content,

k(t);

number of contents that has been delivered until the first point in time,

K;

the approximate number of contents to be delivered during the indicated time period, and

F;

a distribution function calculated based on prior history of the contents delivered.

2. The method of claim 1, wherein the first dynamically calculated threshold θ

is calculated based on a solution to equation;

3. The method of claim 1, wherein the one or more factors comprise a user'"'"'s preference for total number of contents to be delivered during the indicated time period.

4. The method of claim 1, wherein the one or more factors comprise knowledge of a user'"'"'s interest in the contents.

5. The method of claim 1, wherein the one or more factors comprise age of the contents.

6. The method of claim 1, wherein the one or more factors are related to whether the contents are trending.

7. The method of claim 1, wherein the one or more factors are related to at least one of content'"'"'s author popularity and content'"'"'s ranking in a popularity index.

8. The method of claim 1, wherein the first threshold is dynamically calculated at the first point in time using a Kleinberg algorithm.

9. The method of claim 1, wherein a user provides K as the maximum number of contents to be delivered during the indicated time period.

10. The method of claim 9, wherein the user provides K as a soft indication for the maximum number of contents to be delivered during the indicated time period, and a variance K±

ε

is provided to deliver approximately K contents to the user during the indicated time period.

11. A computer system for dynamic content filtering, the computer system comprising:

one or more computer processors;

one or more non-transitory computer readable storage media;

program instructions stored on the one or more non-transitory computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising;

program instructions to receive an indication for a preference for an approximate number of contents to be delivered during an indicated time period;

program instructions to assign a first score to a first content according to one or more factors, in response to receiving the first content at a first point in time during the indicated time period;

program instructions to deliver the first content, in response to determining the first score is above a first dynamically calculated threshold,

wherein the first dynamically calculated threshold is calculated based on;

t;

time of arrival of the first content,

k(t);

number of contents that has been delivered until the first point in time,

K;

the approximate number of contents to be delivered during the indicated time period, and

F;

a distribution function calculated based on prior history of the contents delivered.

12. The computer system of claim 11, wherein the first dynamically calculated threshold θ

is calculated based on a solution to equation;

13. The computer system of claim 11, wherein the one or more factors comprise a user'"'"'s preference for total number of contents to be delivered during the indicated time period.

14. The computer system of claim 11, wherein the one or more factors comprise knowledge of a user'"'"'s interest in the first content.

15. The computer system of claim 11, wherein the one or more factors comprise age of the content.

16. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive an indication for a preference for an approximate number of contents to be delivered during an indicated time period;

assign a first score to a first content according to one or more factors, in response to receiving the first content at a first point in time during the indicated time period;

deliver the first content, in response to determining the first score is above a first dynamically calculated threshold,

wherein the first dynamically calculated threshold is calculated based on;

t;

time of arrival of the first content,

k(t);

number of contents that has been delivered until the first point in time,

K;

the approximate number of contents to be delivered during the indicated time period, and

F;

a distribution function calculated based on prior history of the contents delivered.

17. The computer program product of claim 16, wherein the first dynamically calculated threshold θ

is calculated based on a solution to equation;

18. The computer program product of claim 16, wherein the one or more factors comprise a user'"'"'s preference for total number of contents to be delivered during the indicated time period.

19. The computer program product of claim 16, wherein the one or more factors comprise knowledge of a user'"'"'s possible interest in the first content.

20. The computer program product of claim 16, wherein the one or more factors comprise age of the content.