IP Library Granted Patent US 10,348,663
Granted Patent B2
US 10,348,663 · App. 15/235,253 · Granted Jul 9, 2019

Integration of social interactions into media sharing

Inventors: Emmanuel Barajas Gonzalez (Guadalajara, MX); Shaun E. Harrington (Sahuarita, AZ); Harry McGregor (Tucson, AZ); Christopher B. Moore (Vail, AZ)
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
H04L51/12G06F16/2365G06F16/248G06F16/24556G06F16/24578G06F16/9535G06Q30/0201G06Q50/01H04L51/32H04L67/10H04W4/23G06N7/005
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Quick Facts
Patent No.
US 10,348,663
App. No.
15/235,253
Granted
Jul 9, 2019
Kind
B2
Abstract

Embodiments for managing social commentary as applicable to social media by a processor. A spectrum of weights is assigned to individual portions of the social commentary as a function of a determined measured characteristic. Those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display. A deduplication operation is applied to the individual portions of the social commentary. Those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions.

Claims (30)

1. A system for managing social commentary as applicable to social media in a distributed computing environment, comprising:

a processor, operational within and between the distributed computing environment, that:

assigns a spectrum of weights to individual portions of the social commentary as a function of a determined measured characteristic, the social commentary comprising interactive comments associated with video content shared on the social media, wherein those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display, and

applies a deduplication operation to the individual portions of the social commentary to remove those of the individual portions selected to be withheld from display such that only original, first-instance interactions of respective ones of the individual portions are rendered to a user during a playback of the video content, wherein those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions and those of the individual portions similar with one another beyond a predetermined threshold are selected for the deduplication operation.

2. The system of claim 1 , wherein the processor applies, in conjunction with the deduplication operation, a common content filter to the social commentary.

3. The system of claim 1 , wherein the processor applies, in conjunction with the deduplication operation, an anti-spam filter to the social commentary.

4. The system of claim 1 , wherein the processor analyzes each of the individual portions of the social commentary for a level of the determined measured characteristic.

5. The system of claim 1 , wherein the processor determines the measured characteristic to indicate a level of relevance, a level of quality, or a level of popularity of the social commentary to the social media.

6. The system of claim 1 , wherein the processor initializes a user profile.

7. The system of claim 6 , wherein the processor, pursuant to initializing the user profile, records a declared user preference to assist in formulating the weights of the individual portions.

8. The system of claim 7 , wherein the processor determines whether a correlation is found between a calculated overall interest in the social media and a calculated user interest in the social media based on information in the user profile.

9. The system of claim 8 , wherein the processor, if the correlation is found, applies a regression operation to calculate a probability of interest in content of the social media.

10. The system of claim 1 , wherein the processor applies a cognitive interpretation operation to:

the social commentary,

an audio portion of the social media, or

a video portion of the social media.

11. The system of claim 1 , wherein the processor analyzes biometric data obtained from a user to assist in formulating the weights of the individual portions.

12. A computer program product for managing social commentary as applicable to social media in a distributed computing environment, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

an executable portion that assigns a spectrum of weights to individual portions of the social commentary as a function of a determined measured characteristic, the social commentary comprising interactive comments associated with video content shared on the social media, wherein those of the individual portions having a higher weight than a predetermined threshold are selected to be displayed through the social media in a hierarchy corresponding to a position in the spectrum of weights, while those of the individual portions having a lower weight than the predetermined threshold are selected to be withheld from display; and

an executable portion that applies a deduplication operation to the individual portions of the social commentary to remove those of the individual portions selected to be withheld from display such that only original, first-instance interactions of respective ones of the individual portions are rendered to a user during a playback of the video content, wherein those of the individual portions determined to be repetitive greater than a predetermined number are used to assist in formulating weights of the individual portions and those of the individual portions similar with one another beyond a predetermined threshold are selected for the deduplication operation.

13. The computer program product of claim 12 , further including an executable portion that applies, in conjunction with the deduplication operation, a common content filter to the social commentary.

14. The computer program product of claim 12 , further including an executable portion that applies, in conjunction with the deduplication operation, an anti-spam filter to the social commentary.

15. The computer program product of claim 12 , further including an executable portion that analyzes each of the individual portions of the social commentary for a level of the determined measured characteristic.

16. The computer program product of claim 12 , further including an executable portion that determines the measured characteristic to indicate a level of relevance, a level of quality, or a level of popularity of the social commentary to the social media.

17. The computer program product of claim 12 , further including an executable portion that initializes a user profile, and records a declared user preference to assist in formulating the weights of the individual portions.

18. The computer program product of claim 17 , further including an executable portion that:

determines whether a correlation is found between a calculated overall interest in the social media and a calculated user interest in the social media based on information in the user profile, and

if the correlation is found, applies a regression operation to calculate a probability of interest in content of the social media.

19. The computer program product of claim 12 , further including an executable portion that applies a cognitive interpretation operation to the social commentary, an audio portion of the social media, or a video portion of the social media.

20. The computer program product of claim 12 , further including an executable portion that analyzes biometric data obtained from a user to assist in formulating the weights of the individual portions.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 3, 2024
From: BEIJING PIANRUOJINGHONG TECHNOLOGY CO., LTD.
To: BEIJING ZITIAO NETWORK TECHNOLOGY CO., LTD.
Reel/Frame 066565/0952 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2023
From: AWEMANE LTD.
To: BEIJING PIANRUOJINGHONG TECHNOLOGY CO., LTD.
Reel/Frame 064501/0498 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 2, 2021
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: AWEMANE LTD.
Reel/Frame 057991/0960 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 12, 2016
From: BARAJAS GONZALEZ, EMMANUEL; HARRINGTON, SHAUN E.; MCGREGOR, HARRY; MOORE, CHRISTOPHER B.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 039414/0059 →
Continuity (1)
Related Publication 20180048603A1 · Feb 15, 2018