IP Library Granted Patent US 10,419,383
Granted Patent B2
US 10,419,383 · App. 14/939,874 · Granted Sep 17, 2019

Systems and methods for ranking comments based on interaction-to-impression ratio

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Quick Facts
Patent No.
US 10,419,383
App. No.
14/939,874
Granted
Sep 17, 2019
Kind
B2
Abstract

Systems, methods, and non-transitory computer-readable media can receive a comment to a posted content item. One or more user interactions with the comment are received. An interaction-to-impression ratio for the comment is determined. The comment is ranked among a plurality of comments based on the interaction-to-impression ratio.

Claims (37)

1. A computer-implemented method comprising:

receiving, by a computing system, a comment to a posted content item;

receiving, by the computing system, one or more user interactions with the comment;

determining, by the computing system, an interaction-to-impression ratio for the comment, wherein the interaction-to-impression ratio comprises a number of interactions with the comment divided by a total number of users that have been presented with the comment;

ranking, by the computing system, the comment among a plurality of comments based on the interaction-to-impression ratio; and

providing, by the computing system, the comment for presentation among at least some of the plurality of comments based on the ranking.

2. The computer-implemented method of claim 1 , wherein the interaction-to-impression ratio is an actual interaction-to-impression ratio.

3. The computer-implemented method of claim 1 , wherein the interaction-to-impression ratio is an effective interaction-to-impression ratio.

4. The computer-implemented method of claim 3 , wherein determining the interaction-to-impression ratio comprises determining an effective interaction-to-impression ratio based on a proportion confidence interval.

5. The computer-implemented method of claim 4 , wherein the effective interaction-to-impression ratio is determined based on a lower curve threshold of the proportion confidence interval.

6. The computer-implemented method of claim 1 , further comprising determining an interaction rating for the comment based on the one or more user interactions.

7. The computer-implemented method of claim 6 , wherein ranking the comment among a plurality of comments based on the interaction-to-impression ratio comprises ranking the comment among a plurality of comments based on the interaction rating.

8. The computer-implemented method of claim 6 , further comprising discounting the interaction rating based on the interaction-to-impression ratio.

9. The computer-implemented method of claim 1 , wherein determining the interaction-to-impression ratio for the comment comprises determining an effective interaction-to-impression ratio based on a binomial proportion confidence interval.

10. The computer-implemented method of claim 9 , wherein the binomial proportion confidence interval is a Wilson curve interval.

11. A system comprising:

at least one processor; and

a memory storing instruction that, when executed by the at least one processor, cause the system to perform:

receiving a comment to a posted content item;

receiving one or more user interactions with the comment;

determining an interaction-to-impression ratio for the comment, wherein the interaction-to-impression ratio comprises a number of interactions with the comment divided by a total number of users that have been presented with the comment;

ranking the comment among a plurality of comments based on the interaction-to-impression ratio; and

providing the comment for presentation among at least some of the plurality of comments based on the ranking.

12. The system of claim 11 , wherein the interaction-to-impression ratio is an actual interaction-to-impression ratio.

13. The system of claim 11 , wherein the interaction-to-impression ratio is an effective interaction-to-impression ratio.

14. The system of claim 13 , wherein determining the interaction-to-impression ratio comprises determining an effective interaction-to-impression ratio based on a proportion confidence interval.

15. The system of claim 14 , wherein the effective interaction-to-impression ratio is determined based on a lower curve threshold of the proportion confidence interval.

16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system cause the computing system to perform a method comprising:

receiving a comment to a posted content item;

receiving one or more user interactions with the comment;

determining an interaction-to-impression ratio for the comment, wherein the interaction-to-impression ratio comprises a number of interactions with the comment divided by a total number of users that have been presented with the comment;

ranking the comment among a plurality of comments based on the interaction-to-impression ratio; and

providing the comment for presentation among at least some of the plurality of comments based on the ranking.

17. The non-transitory computer-readable storage medium of claim 16 , wherein the interaction-to-impression ratio is an actual interaction-to-impression ratio.

18. The non-transitory computer-readable storage medium of claim 16 , wherein the interaction-to-impression ratio is an effective interaction-to-impression ratio.

19. The non-transitory computer-readable storage medium of claim 18 , wherein determining the interaction-to-impression ratio comprises determining an effective interaction-to-impression ratio based on a proportion confidence interval.

20. The non-transitory computer-readable storage medium of claim 19 , wherein the effective interaction-to-impression ratio is determined based on a lower curve threshold of the proportion confidence interval.

Assignments (2)
CHANGE OF NAME Recorded Nov 24, 2021
From: FACEBOOK, INC.
To: META PLATFORMS, INC.
Reel/Frame 058957/0843 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 2, 2016
From: OWENS, ERICH JAMES
To: FACEBOOK, INC.
Reel/Frame 039626/0519 →