Integration of social interactions into media sharing

Patent metadata

Field	Value
Publication number	US-10523608-B2
Application number	US-201615235330-A
Country	US
Kind code	B2
Filing date	Aug 12, 2016
Priority date	Aug 12, 2016
Publication date	Dec 31, 2019
Grant date	Dec 31, 2019

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 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.

First claim

The invention claimed is:

1. A method for managing social commentary as applicable to social media by a processor, comprising:
assigning a spectrum of weights to individual portions of the social commentary comprising interactive comments associated with video content shared on the social media as a function of a determined measured characteristic, 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
applying 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 method of claim 1 , further including, applying, in conjunction with the deduplication operation, a common content filter to the social commentary.

3. The method of claim 1 , further including applying, in conjunction with the deduplication operation, an anti-spam filter to the social commentary.

4. The method of claim 1 , further including analyzing each of the individual portions of the social commentary for a level of the determined measured characteristic.

5. The method of claim 1 , further including determining 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 method of claim 1 , further including initializing a user profile.

7. The method of claim 6 , wherein initializing the user profile further includes recording a declared user preference to assist in formulating the weights of the individual portions.

8. The method of claim 7 , further including determining 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 method of claim 8 , wherein if the correlation is found, applying a regression operation to calculate a user probability of interest in content of the social media.

10. The method of claim 1 , further including applying 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 method of claim 1 , further including analyzing biometric data obtained from a user to assist in formulating the weights of the individual portions.

12. A method for managing social commentary as applicable to social media by a processor, comprising:
weighting individual portions of the social commentary comprising interactive comments associated with video content shared on the social media to correspond with a hierarchical order in which the individual portions of the social commentary are displayed concurrently with the social media over an elapsed time; wherein a data deduplication operation is applied 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, those of the individual portions deemed repetitive additive to a particular weight of a deduplicated one of the individual portions and those of the individual portions similar with one another beyond a predetermined threshold being selected for the deduplication operation.

13. The method of claim 12 , further including analyzing the individual portions of the social commentary for a measured characteristic indicating a level of relevance, a level of quality, or a level of popularity of the social commentary to the social media.

14. The method of claim 12 , further including applying a cognitive interpretation operation to the social commentary, an audio portion of the social media, or a video portion of the social media.

Assignees

• IBM

Inventors

• Barajas Gonzalez Emmanuel
• Harrington Shaun E
• Mcgregor Harry
• Moore Christopher B

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N5/022

  Knowledge engineering; Knowledge acquisition · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title